At A Glance

We are looking for a Senior AI Engineer to help build the next generation of AI-powered tools to accelerate our internal ms. This is a software engineering role first where you should be comfortable owning backend systems, APIs, and production architecture. AI/agentic experience is the layer on top. This is a hands-on, high-ownership role at the center of a growing AI Ops function within Corporate Technology. You will design and build AI Assistants that automate real workflows, integrate with enterprise tools, and are grounded in sound software engineering practices. You will not be building demos. You will be building production-grade systems that people at RVO Health will use every day.

The ideal candidate is comfortable working across the full AI development stack: from designing AI workflow automation and fine-tuning prompts to building APIs and integrating third-party platforms. You thrive in a fast-moving environment, can translate a business workflow into a technical architecture, and care about delivering work that is reliable, maintainable, and secure.

This role reports into the Director of AI Ops & Platform Engineering and works closely with the AI Ops team, security, IT, and platform engineering. It is an early and influential seat in a program that will accelerate the adoption and use of AI across RVO Health.

Where You’ll Be

To prioritize togetherness, culture, and accountability, RVO Health operates on an in-office work schedule. We expect employees to work from our Charlotte, NC/Fort Mill, SC, Denver, CO or Minneapolis, MN office Tuesday, Wednesday and Thursday each week. You are welcome to work remotely Mondays and Fridays if you wish.

(This role is also open remotely for those candidates outside of a hub location)

What You’ll Do

• Design, build, and iterate on AI Assistants integrated with enterprise tools including Jira, Slack, and internal data sources
• Develop and maintain prompt engineering frameworks, evaluation pipelines, and feedback loops to continuously improve assistant quality and reliability
• Build and maintain APIs, backend services, and integrations that connect AI capabilities to the tools teams already use
• Collaborate with AI Ops, security, IT, and platform engineering teams to ensure systems are production-grade, secure, and observable
• Contribute to a repeatable framework for building new AI Assistants as the program expands
• Enable the organization by building a marketplace of shared skills/plugins
• Evaluate new models, tools, and libraries and make informed recommendations on when and how to adopt them
• Identify and mitigate risks related to AI outputs, data handling, and responsible use
• Contribute to technical documentation, runbooks, and onboarding materials that help the team scale what gets built

What We’re Looking For

• 4+ years of software engineering experience, with at least 1 year focused on building with AI and/or creating LLM-powered applications
• Experience building and deploying apps in cloud infrastructure
• Hands-on experience with LLM APIs (OpenAI, Anthropic, or similar) and the practical realities of prompt engineering at scale
• Experience leveraging Claude Code for agentic coding
• Experience integrating with third-party APIs and enterprise tools (Jira, Slack, or similar platforms is a plus)
• Experience with  software engineering best practices including: version control, testing, CI/CD, observability, and code review
• Strong communication skills and the ability to work with non-technical stakeholders to understand workflows and translate them into technical requirements

Pursuant to various state Fair Pay Acts, below is a summary of compensation elements for this role at the company. The following benefits are provided by RVO Health, subject to eligibility requirements.

• Starting Salary: $140,000 - $175,000

*Note actual salary is based on geographic location, qualifications and experience

• Health Insurance Coverage (medical, dental, and vision)
• Life Insurance
• Short and Long-Term Disability Insurance
• Flexible Spending Accounts
• Paid Time Off
• Holiday Pay
• 401(k) with match
• Employee Assistance Program
• Paid Parental Bonding Benefit Program
• Pharmacy Benefits
• Income Protection Plans
• Pet Services Plans
• Mental Health Support
• Wellness Coaching
• HSA- Health Savings Account
• Commuter Benefits
• Gym & Fitness Center Discount Program

Who We Are:

Founded in 2022, RVO Health is a new healthcare platform of digital media brands, services and technologies focused on building relationships with people throughout their health & wellness journey. We meet people where they are in their personal health journeys and connect them with both the information and the care they need. RVO Health was created by joining teams from both Red Ventures and UnitedHealth Group’s Optum Health. Together we’re focused on delivering on our vision of a stronger and healthier world.

RVO Health is comprised of Healthline Media (Healthline, Medical News Today, Psych Central, Greatist and Bezzy), Healthgrades, FindCare and PlateJoy; Optum Perks, and the virtual coaching platforms Real Appeal, Wellness Coaching, and QuitForLife.

We offer competitive salaries and a comprehensive benefits program for full-time employees, including medical, dental and vision coverage, paid time off, life insurance, disability coverage, employee assistance program, 401(k) plan and a paid parental leave program.

RVO Health is an equal opportunity employer that does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or any other basis protected by law. Employment at RVO Health is based solely on a person’s merit and qualifications.

We are committed to providing equal employment opportunities to qualified individuals with disabilities. This includes providing reasonable accommodation where appropriate. Should you require a reasonable accommodation to apply or participate in the job application or interview process, please contact accommodations@rvohealth.com .

We do not provide visa sponsorship for this role at this time.

#LI-Hybrid #LI-Remote

RVO Health Privacy Policy: https://rvohealth.com/legal/privacy

Forward Deployed Engineer (FDE)

ABOUT Wonderful

Wonderful enables enterprises to build, test, deploy, and monitor AI agents for their most complex needs, serving customers and employees seamlessly across voice, chat, email, and back-office systems in any language or cultural context.

Role Overview

As a Forward Deployed Engineer (FDE) at Wonderful, you’ll solve high-impact, real-world problems alongside enterprise customers and own work from first principles through production outcomes.

You’ll work directly with customers to understand critical workflows, design AI-driven solutions, and deploy agents that operate reliably in production. You’ll own projects end-to-end from problem definition and system design to launch and iteration - and be accountable for real business impact.

This is a hands on-generalist rolefor engineers who enjoy navigating ambiguity, learning quickly, and working across systems while partnering with enterprises as they become AI-driven organizations.

What You’ll Do

• Partner with customers to understand operational challenges and success criteria

• Translate open-ended problems into clear technical designs and implementations

• Build AI agents that integrate with customer systems and perform real tasks

• Own deployments, including reliability, performance, and continuous improvement

• Test with real data, measure outcomes, and iterate based on results

• Collaborate with Product & Engineering to ship high-quality solutions

• Contribute to tools, documentation, and best practices that scale customer delivery

What We’re Looking For

• 5+ years of experience in software engineering or technical problem-solving roles

• Strong fundamentals in software design, system thinking

• Experience working across systems, integrations, and data flows

• Comfort working directly with customers and owning ambiguous problems

• Clear communication skills and a strong ownership mindset

• Curiosity and interest in building AI-powered systems that work in practice

Nice to Have

• Experience in forward-deployed, solutions engineering, or customer-facing roles

• Exposure to AI agents, automation, or conversational systems

• Experience operating and improving production systems

Forward Deployed Engineer (FDE)

ABOUT Wonderful

Wonderful enables enterprises to build, test, deploy, and monitor AI agents for their most complex needs, serving customers and employees seamlessly across voice, chat, email, and back-office systems in any language or cultural context.

Role Overview

As a Forward Deployed Engineer (FDE) at Wonderful, you’ll solve high-impact, real-world problems alongside enterprise customers and own work from first principles through production outcomes.

You’ll work directly with customers to understand critical workflows, design AI-driven solutions, and deploy agents that operate reliably in production. You’ll own projects end-to-end from problem definition and system design to launch and iteration - and be accountable for real business impact.

This is a hands on-generalist rolefor engineers who enjoy navigating ambiguity, learning quickly, and working across systems while partnering with enterprises as they become AI-driven organizations.

What You’ll Do

• Partner with customers to understand operational challenges and success criteria

• Translate open-ended problems into clear technical designs and implementations

• Build AI agents that integrate with customer systems and perform real tasks

• Own deployments, including reliability, performance, and continuous improvement

• Test with real data, measure outcomes, and iterate based on results

• Collaborate with Product & Engineering to ship high-quality solutions

• Contribute to tools, documentation, and best practices that scale customer delivery

What We’re Looking For

• 5+ years of experience in software engineering or technical problem-solving roles

• Strong fundamentals in software design, system thinking

• Experience working across systems, integrations, and data flows

• Comfort working directly with customers and owning ambiguous problems

• Clear communication skills and a strong ownership mindset

• Curiosity and interest in building AI-powered systems that work in practice

Nice to Have

• Experience in forward-deployed, solutions engineering, or customer-facing roles

• Exposure to AI agents, automation, or conversational systems

• Experience operating and improving production systems

ABOUT NYMBUS:

Nymbus (https://nymbus.com/) isn't just a leader in fintech; we're a community of innovators passionate about reimagining banking. Our award-winning modern core platform and cloud-based technology serve as the backbone for financial institutions eager to modernize and excel.

Here, you won't just be part of a tech revolution. You'll be at the helm, driving change. You'll fit right in if you're a creative thinker who's eager to reduce technical debt and increase agility for banks and credit unions. Our culture thrives on collaboration, integrity, and a client-first approach.

We operate with an AI-first mindset across all aspects of our business, continuously improving our efficiency and increasing the value we deliver to clients. We're looking for individuals who are intensely curious about emerging technologies and passionate about innovation.

Your journey with us won't simply advance your career; it will offer the chance to help shape an industry alongside like-minded professionals. We're excited to consider you a key player in this transformative chapter. Thank you for considering a role with Nymbus.

WORK ENVIRONMENT:

We are primarily a remote-first company, but you may need to travel to visit client sites or attend meetings at designated locations with your team members.

ROLE OVERVIEW:

The Applied AI Analyst operates at the intersection of business, data, and AI to solve complex problems and drive measurable outcomes. This role partners with functional leaders to bring analytical rigor, structure, and AI-enabled solutions to high-impact decisions, workflows, and strategic initiatives.

Applied AI Analysts do not operate in theory alone—they are hands-on builders and problem solvers who design, prototype, and deploy AI-driven approaches that improve efficiency, decision-making, and business performance.

CORE RESPONSIBILITIES:

• Problem Structuring & Analysis
• Break down ambiguous business problems into clear analytical frameworks
• Develop insights that inform decisions across product, engineering, operations, and go-to-market functions
• AI-Driven Solutions
• Design and prototype AI-enabled workflows, tools, and use cases
• Apply AI to improve efficiency, quality, and scalability of work
• Identify and prioritize opportunities for automation and augmentation
• Workflow & Process Optimization
• Analyze existing workflows to identify inefficiencies, gaps, and bottlenecks
• Redesign processes to improve speed, consistency, and outcomes
• Implement repeatable, scalable solutions
• Data & Insight Generation
• Build models, dashboards, and frameworks that drive visibility into performance
• Synthesize large volumes of structured and unstructured data into actionable insights
• Reusable Asset Development
• Create templates, playbooks, and tools that can be leveraged across teams
• Turn one-off work into repeatable, scalable capabilities
• Cross-Functional Partnership
• Work across teams (Product, Engineering, Operations, Sales, etc.) to support high-priority initiatives
• Translate between technical and business stakeholders
  

WHAT SUCCESS LOOKS LIKE:

• Measurable improvements in efficiency, quality, or revenue outcomes in assigned functional area(s)
• AI solutions that are adopted and reused across teams
• Better, faster decision-making supported by data and analysis
• Reduction in manual effort and process variability
• Creation of scalable frameworks, not one-off outputs
  
  

CORE SKILLS & CAPABILITIES:

• Strong analytical thinking and problem-solving ability
• Ability to work with ambiguity and define structure
• Experience applying AI tools (e.g., LLMs, automation tools) to real-world problems
• Process design and optimization mindset
• Clear communication and ability to influence stakeholders
• Bias toward action, experimentation, and iteration
  
  

WHAT TO EXPECT:

Thanks for your interest in the Applied AI Practice at Nymbus. We've tried to make this process transparent and respectful of your time. Here's what it looks like, end to end:

• Apply. Submit your résumé through the posting. We'll ask two quick questions up front — your work authorization and your compensation expectations — so we can make sure we're aligned before either of us invests time.
• A short video interview. If your background looks like a fit, we'll invite you to a brief one-way video interview you can record on your own schedule — a few questions, no live scheduling required.
• A conversation with the hiring manager. A 1:1 conversation with the Director of Applied AI — partly for us to learn how you think, partly for you to dig into the role, the team, and whether it's the right fit for you.
• A short build exercise. A small, hands-on project shaped like the actual work, built with whatever AI-native tools you like. Plan for a few hours; you'll have a 72-hour window so you can fit it around a job or classes. We care how you think and build, not how long you spend.
• A brief online assessment. A short, standard assessment that all Nymbus candidates complete.
• Offer. If it's a match, we move to an offer.
  
  

We try to move quickly and keep you informed at each step. Questions along the way are always welcome.

BENEFITS:

• Opportunities for progressive role seniority and compensation growth based on the candidate's knowledge and experience
• Competitive annual salary, performance-based cash bonus, and equity options
• Fully remote work environment
• 401(k) retirement plan
• Comprehensive health, dental, and vision insurance
  
  

Ready to join? We invite you to watch this video and learn who we are and how we build and innovates together!

Let's Go!

About Remote Remote is solving modern organizations’ biggest challenge – navigating global employment compliantly with ease. We make it possible for businesses of all sizes to recruit, pay, and manage...

Company Description

We Elevate. Digitally.

SQLI is a European leader in digital transformation and customer experience, helping major international brands drive growth through technology. From strategy to implementation, we design and deliver high-performance architectures and engaging digital experiences by combining advanced technologies, proven methodologies, and deep technical expertise.

With 2,200 people across 12 countries, we’re looking for passionate individuals who share our values: Creative Spirit, Commitment, and Forward Thinking.

Job Description

About the role

The AI Engineer is the build engine of our AI practice. You turn business requirements into working AI solutions, fast, using coding agents and frontier models, then take the ones that prove their worth into production with the security, compliance, and reliability that enterprise clients demand.

This is not a model-training role. We are not building or fine-tuning models from scratch. You build agentic workflows and LLM-powered applications on top of frontier models, wire them into real enterprise systems, and make them safe to run.

You will work as part of the delivery team alongside consultants, business analysts, and architects. The consultant carries the client relationship and the architect owns the hard architectural calls. You own the build and you make real engineering decisions, not just execute someone else’s spec. You are proactive about spotting better ways to build, and trusted to deliver without close supervision.

What you will do

• Use coding agents to prototype AI solutions quickly against real client requirements, so the team can validate value before committing to a full build

• Build, deploy, and maintain LLM-powered applications and agents that align with enterprise architecture principles and standards, with evaluation, monitoring, and token tracking in place from day one

• Set up MCP connectors and permissions against client systems, taking real care over data handling, access control, and what an agent is and is not allowed to do

• Build production solutions that meet client security requirements and European data protection obligations, including GDPR. This is not optional and not an afterthought

• Collaborate with consultants, business analysts, and architects to break business requirements down into solutions that are feasible, maintainable, and safe

• Create reusable AI assets and accelerators for the practice, including skills, plugins, and MCP servers that make future engagements faster

• Support Data & AI teams with best practices around AI-assisted development, documentation, and automation, and coach less experienced colleagues on agentic build patterns and security standards

• Document deployment, upgrade paths, and maintenance so SQLI and our clients can own what you build after handover

Qualifications

• Proven experience with AI-assisted development. You have shipped something real with Claude or another agent platform, not just followed tutorials

• Strong TypeScript and/or Python for agentic glue code, custom MCP work, and evaluation

• Experience building RAG applications

• Hands-on with creating and using agent plugins, skills, and MCP servers for repeatable agentic workflows

• Skilled at engineering the prompts and context that let agents do work as autonomously as is safe and sensible

• Solid grasp of security, access control, and data protection (including GDPR) when building systems that act against real client data with real permissions

• Experience setting up CI/CD pipelines and automation

• Able to take a prototype through to a production-grade build, not just one or the other

• Strong collaboration and communication skills, ideally from an agency or consulting setting

• Proactive and autonomous, able to spot opportunities, make sound engineering decisions, and own delivery rather than wait to be told how to build

• Business-level English, able to understand business requirements directly from clients and communicate clearly in calls and in writing

Nice to have

• Familiar with Microsoft Azure, particularly Azure AI infrastructure, as our primary cloud for production AI

• Hands-on with Anthropic’s managed agent infrastructure (Claude managed agents, the agents API)

• Prior work on evaluation methods for LLM outputs

• Experience in e-commerce, or from an AI, agentic, or workflow automation background

• Comfortable presenting technical work and learnings to a non-engineering audience

Additional Information

How we will work together

You will report into the Data & AI service line leadership and work as part of client delivery teams across the service line and the wider SQLI group. The role is primarily billable client work. You will occasionally join client sessions for technical depth, but the consultant carries the relationship. We are looking for someone who can own technical decisions on the build, not only execute, with room to grow toward an AI Architect track as the practice scales.

How to apply

Send a short note covering:

1. One thing you have built recently with Claude Code or a Claude-based agent, with a link if possible

2. How you would take an agent that touches real client systems from a quick prototype to something safe to run in production

3. Your notice period and earliest start date

Why you’ll love working at SQLI?

• A flexible remote working policy: 3 days per week
• Continuous learning opportunities and certifications to support your development
• Personalised support: career follow-up, diverse projects, and strong team collaboration
• Regular rituals: internal communications on tech and AI topics, internal events, and meet-ups

Company Description

We Elevate. Digitally.

SQLI is a European leader in digital transformation and customer experience, helping major international brands drive growth through technology. From strategy to implementation, we design and deliver high-performance architectures and engaging digital experiences by combining advanced technologies, proven methodologies, and deep technical expertise.

With 2,200 people across 12 countries, we’re looking for passionate individuals who share our values: Creative Spirit, Commitment, and Forward Thinking.

Job Description

About the role

The AI Engineer is the build engine of our AI practice. You turn business requirements into working AI solutions, fast, using coding agents and frontier models, then take the ones that prove their worth into production with the security, compliance, and reliability that enterprise clients demand.

This is not a model-training role. We are not building or fine-tuning models from scratch. You build agentic workflows and LLM-powered applications on top of frontier models, wire them into real enterprise systems, and make them safe to run.

You will work as part of the delivery team alongside consultants, business analysts, and architects. The consultant carries the client relationship and the architect owns the hard architectural calls. You own the build and you make real engineering decisions, not just execute someone else’s spec. You are proactive about spotting better ways to build, and trusted to deliver without close supervision.

What you will do

• Use coding agents to prototype AI solutions quickly against real client requirements, so the team can validate value before committing to a full build

• Build, deploy, and maintain LLM-powered applications and agents that align with enterprise architecture principles and standards, with evaluation, monitoring, and token tracking in place from day one

• Set up MCP connectors and permissions against client systems, taking real care over data handling, access control, and what an agent is and is not allowed to do

• Build production solutions that meet client security requirements and European data protection obligations, including GDPR. This is not optional and not an afterthought

• Collaborate with consultants, business analysts, and architects to break business requirements down into solutions that are feasible, maintainable, and safe

• Create reusable AI assets and accelerators for the practice, including skills, plugins, and MCP servers that make future engagements faster

• Support Data & AI teams with best practices around AI-assisted development, documentation, and automation, and coach less experienced colleagues on agentic build patterns and security standards

• Document deployment, upgrade paths, and maintenance so SQLI and our clients can own what you build after handover

Qualifications

• Proven experience with AI-assisted development. You have shipped something real with Claude or another agent platform, not just followed tutorials

• Strong TypeScript and/or Python for agentic glue code, custom MCP work, and evaluation

• Experience building RAG applications

• Hands-on with creating and using agent plugins, skills, and MCP servers for repeatable agentic workflows

• Skilled at engineering the prompts and context that let agents do work as autonomously as is safe and sensible

• Solid grasp of security, access control, and data protection (including GDPR) when building systems that act against real client data with real permissions

• Experience setting up CI/CD pipelines and automation

• Able to take a prototype through to a production-grade build, not just one or the other

• Strong collaboration and communication skills, ideally from an agency or consulting setting

• Proactive and autonomous, able to spot opportunities, make sound engineering decisions, and own delivery rather than wait to be told how to build

• Business-level English, able to understand business requirements directly from clients and communicate clearly in calls and in writing

Nice to have

• Familiar with Microsoft Azure, particularly Azure AI infrastructure, as our primary cloud for production AI

• Hands-on with Anthropic’s managed agent infrastructure (Claude managed agents, the agents API)

• Prior work on evaluation methods for LLM outputs

• Experience in e-commerce, or from an AI, agentic, or workflow automation background

• Comfortable presenting technical work and learnings to a non-engineering audience

Additional Information

How we will work together

You will report into the Data & AI service line leadership and work as part of client delivery teams across the service line and the wider SQLI group. The role is primarily billable client work. You will occasionally join client sessions for technical depth, but the consultant carries the relationship. We are looking for someone who can own technical decisions on the build, not only execute, with room to grow toward an AI Architect track as the practice scales.

How to apply

Send a short note covering:

1. One thing you have built recently with Claude Code or a Claude-based agent, with a link if possible

2. How you would take an agent that touches real client systems from a quick prototype to something safe to run in production

3. Your notice period and earliest start date

Why you’ll love working at SQLI?

• A flexible remote working policy: 3 days per week
• Continuous learning opportunities and certifications to support your development
• Personalised support: career follow-up, diverse projects, and strong team collaboration
• Regular rituals: internal communications on tech and AI topics, internal events, and meet-ups

Company Description

We Elevate. Digitally.

SQLI is a European leader in digital transformation and customer experience, helping major international brands drive growth through technology. From strategy to implementation, we design and deliver high-performance architectures and engaging digital experiences by combining advanced technologies, proven methodologies, and deep technical expertise.

With 2,200 people across 12 countries, we’re looking for passionate individuals who share our values: Creative Spirit, Commitment, and Forward Thinking.

Job Description

About the role

The AI Engineer is the build engine of our AI practice. You turn business requirements into working AI solutions, fast, using coding agents and frontier models, then take the ones that prove their worth into production with the security, compliance, and reliability that enterprise clients demand.

This is not a model-training role. We are not building or fine-tuning models from scratch. You build agentic workflows and LLM-powered applications on top of frontier models, wire them into real enterprise systems, and make them safe to run.

You will work as part of the delivery team alongside consultants, business analysts, and architects. The consultant carries the client relationship and the architect owns the hard architectural calls. You own the build and you make real engineering decisions, not just execute someone else’s spec. You are proactive about spotting better ways to build, and trusted to deliver without close supervision.

What you will do

• Use coding agents to prototype AI solutions quickly against real client requirements, so the team can validate value before committing to a full build

• Build, deploy, and maintain LLM-powered applications and agents that align with enterprise architecture principles and standards, with evaluation, monitoring, and token tracking in place from day one

• Set up MCP connectors and permissions against client systems, taking real care over data handling, access control, and what an agent is and is not allowed to do

• Build production solutions that meet client security requirements and European data protection obligations, including GDPR. This is not optional and not an afterthought

• Collaborate with consultants, business analysts, and architects to break business requirements down into solutions that are feasible, maintainable, and safe

• Create reusable AI assets and accelerators for the practice, including skills, plugins, and MCP servers that make future engagements faster

• Support Data & AI teams with best practices around AI-assisted development, documentation, and automation, and coach less experienced colleagues on agentic build patterns and security standards

• Document deployment, upgrade paths, and maintenance so SQLI and our clients can own what you build after handover

Qualifications

• Proven experience with AI-assisted development. You have shipped something real with Claude or another agent platform, not just followed tutorials

• Strong TypeScript and/or Python for agentic glue code, custom MCP work, and evaluation

• Experience building RAG applications

• Hands-on with creating and using agent plugins, skills, and MCP servers for repeatable agentic workflows

• Skilled at engineering the prompts and context that let agents do work as autonomously as is safe and sensible

• Solid grasp of security, access control, and data protection (including GDPR) when building systems that act against real client data with real permissions

• Experience setting up CI/CD pipelines and automation

• Able to take a prototype through to a production-grade build, not just one or the other

• Strong collaboration and communication skills, ideally from an agency or consulting setting

• Proactive and autonomous, able to spot opportunities, make sound engineering decisions, and own delivery rather than wait to be told how to build

• Business-level English, able to understand business requirements directly from clients and communicate clearly in calls and in writing

Nice to have

• Familiar with Microsoft Azure, particularly Azure AI infrastructure, as our primary cloud for production AI

• Hands-on with Anthropic’s managed agent infrastructure (Claude managed agents, the agents API)

• Prior work on evaluation methods for LLM outputs

• Experience in e-commerce, or from an AI, agentic, or workflow automation background

• Comfortable presenting technical work and learnings to a non-engineering audience

Additional Information

How we will work together

You will report into the Data & AI service line leadership and work as part of client delivery teams across the service line and the wider SQLI group. The role is primarily billable client work. You will occasionally join client sessions for technical depth, but the consultant carries the relationship. We are looking for someone who can own technical decisions on the build, not only execute, with room to grow toward an AI Architect track as the practice scales.

How to apply

Send a short note covering:

1. One thing you have built recently with Claude Code or a Claude-based agent, with a link if possible

2. How you would take an agent that touches real client systems from a quick prototype to something safe to run in production

3. Your notice period and earliest start date

Why you’ll love working at SQLI?

• A flexible remote working policy: 3 days per week
• Continuous learning opportunities and certifications to support your development
• Personalised support: career follow-up, diverse projects, and strong team collaboration
• Regular rituals: internal communications on tech and AI topics, internal events, and meet-ups

DeepIntent is leading the healthcare advertising industry with data-driven solutions built for the future. From day one, our mission has been to improve patient outcomes through the artful use of advertising, data science, and real-world clinical data. For more information visit, www.DeepIntent.com.

What You’ll Do:

We are looking for an Applied AI Engineer to embed directly with our US commercial and operational teams building a human and agentic “operating system” that powers how we work as a company. In this role, you will be a builder and a problem-solver — someone who translates day-to-day operational pain points into practical AI agent and automation solutions that free up capacity for higher-value work.

This is an ideal role for someone who is passionate about applied AI, comfortable working across business and technical teams, and excited to see their work make an immediate and measurable impact.

Build & Deploy AI Agents and Automations

• Design, build, and deploy AI agents that automate administrative and repetitive workflows across commercial operations.
• Identify high-value automation opportunities by working directly with stakeholders to map processes and surface inefficiencies.
• Develop solutions using LLMs (e.g., OpenAI, Anthropic Claude), workflow automation tools, RESTful APIs, and Python scripting.
• Prototype, iterate, and ship working solutions quickly — moving from problem to deployed tool with minimal overhead.

Partner with Business Teams

• Serve as the technical point of contact embedded within commercial and PMO teams, building strong working relationships with non-technical stakeholders.
• Translate ambiguous business needs into clear technical requirements and executable solutions.
• Communicate progress, surface blockers, and present solutions in a way that is accessible to both technical and non-technical audiences.

Maintain & Document

• Create and maintain clear technical documentation for all tools, workflows, and integrations you build.
• Monitor deployed solutions and proactively identify opportunities to improve reliability, performance, and adoption.

Who You Are

• Bachelors or Masters degree in Computer Science, Mathematics or Engineering
• Hands-on experience with AI/LLM tools, including configuring and prompting models from providers such as OpenAI or Anthropic (i.e. you’ve successfully shipped a product or feature using Claude Code)
• 2+ years of hands-on software development experience, including internships, co-ops, or personal projects with deployed, real-world applications
• Comfortable working with RESTful APIs, MCP servers, and integrating third-party services.
• Scripting language (i.e. Python) proficiency — you can write scripts, build lightweight automations, and debug independently.
• Understanding of prompt engineering best practices.
• Naturally curious and proactive — you seek out problems, propose solutions, and don’t wait to be told what to build next.
• Strong communicator who can work fluidly across business and engineering functions.
• Comfortable with ambiguity — you can scope your own work and adapt as priorities shift.
• Based in or able to work effectively within Eastern Time (EST).

DeepIntent is proud to offer a competitive compensation package inclusive of a base salary range of $105,000 -$120,000. The base salary range takes into consideration each candidates skills, experience and qualifications. In addition, we offer an annualized bonus plan and competitive benefits as well as many other company offerings.

We believe great work starts with great support. That’s why DeepIntent offers a competitive, holistic benefits package designed to empower you both professionally and personally.

Here’s what you can expect when you join our team based in the US: Competitive base salary plus performance based bonus or commission, comprehensive medical, dental, and vision insurance, 401K match program, Unlimited PTO policy and paid holidays, remote friendly culture with flexible work options, career development and advanced education support, WFH and internet stipends, plus many more perks and benefits!

Here’s what you can expect when you join our team based in India: Competitive base salary plus performance based bonus, comprehensive medical insurance, and paid holidays. Hybrid-friendly culture with flexible work options, professional development reimbursement, WiFi reimbursement and health and wellness allowance plus many more perks and benefits!

Here’s what you can expect when you join our team based in Europe: Competitive base salary plus performance-based bonus, comprehensive medical insurance, and flexible PTO. Hybrid-friendly culture with flexible work options, professional development reimbursement, WiFi reimbursement, and parental leave plus many more perks and benefits!

DeepIntent is committed to bringing together individuals from different backgrounds and perspectives. We strive to create an inclusive environment where everyone can thrive, feel a sense of belonging, and do great work together. DeepIntent is an Equal Opportunity Employer, providing equal employment and advancement opportunities to all individuals. We recruit, hire and promote into all job levels the most qualified applicants without regard to race, color, creed, national origin, religion, sex (including pregnancy, childbirth and related medical conditions), parental status, age, disability, genetic information, citizenship status, veteran status, gender identity or expression, transgender status, sexual orientation, marital, family or partnership status, political affiliation or activities, military service, immigration status, or any other status protected under applicable federal, state and local laws. If you have a disability or special need that requires accommodation, please let us know in advance. DeepIntent’s commitment to providing equal employment opportunities extends to all aspects of employment, including job assignment, compensation, discipline and access to benefits and training.

CCPA Notice: If you are a California resident applying for a role at DeepIntent, we may collect personal information as part of the application process in accordance with the California Consumer Privacy Act (CCPA). To learn more about the categories of information we collect and your rights, please contact PeopleOps@deepintent.com to see our full Applicant Privacy Notice.

Company Description

Ramboll is a global architecture, engineering, and consultancy company. As a foundation-owned people company, founded in Denmark, we believe that the purpose of sustainable change is to create a thriving world for both nature and people. So, that’s where we start – and how we work. Our history is rooted in a clear vision of how a responsible company should act and being open and curious is a cornerstone of our culture. Ramboll in the Americas has thousands of experts working across more than 70 offices. Ramboll experts deliver innovative solutions across Environment & Health, Water, Energy, and Planning & Urban Design.

Job Description

Hybrid-based position in our Los Angeles or Irvine, CA office other locations in the US will be considered.

Applicants must be currently authorized to work in the United States on a full-time basis. No sponsorship is available for this position.

Are you excited about building applied AI solutions that improve how consulting teams deliver value? Are you motivated by advancing digital transformation in environmental and climate services? Are you a curious and hands-on data scientist who thrives in ambiguous problem spaces?

Your new role

As our new Senior Data Scientist, you will join the Air & Climate Global Service Line (GSL) Innovation & Digital Transformation (IDT) team to design and deliver applied AI and data-science solutions that accelerate consulting workflows and improve knowledge reuse.

You will be part of a collaborative, innovation-focused team working on prototype-driven solutions that address complex, real-world consulting challenges. This role combines modern AI application development with classical data science, and involves taking ideas from concept through prototype and pilot deployment. You will partner with Digital Product Engineering (DPE) for production readiness and scaling of successful solutions.

Your key responsibilities will be:

• Lead multiple applied AI and data-science efforts from concept through prototype and pilot, prioritizing business impact and adoption
• Design and build AI-enabled solutions, including retrieval-based systems and document-processing workflows, to improve knowledge access and automation
• Apply quantitative methods such as geospatial and time-series analysis to support consulting delivery and strengthen solution rigor
• Develop dashboards and lightweight applications that translate analytical outputs into decision-ready insights for consultants and clients
• Create reusable accelerators and share best practices to enable repeatable and scalable delivery across teams

Qualifications

About you

• Master’s degree in Data Science, Computer Science, Statistics, Engineering, or a related quantitative field (or equivalent experience)
• Demonstrated experience delivering applied data-science or machine-learning solutions in real-world settings
• Strong programming skills in Python for data processing, analysis, and model development
• Experience using version control tools such as Git for collaborative development
• Ability to communicate technical results clearly through visualization and data storytelling

Additional Information

What we can offer you

• Investment in your development
• Being valued for the unique person you are
• Never being short of inspiration from colleagues, clients, and projects
• The long-term thinking of a foundation-owned company

Salary Transparency Statement

At Ramboll, we are committed to fair and transparent compensation practices that support our people and our purpose of creating sustainable societies. The anticipated base salary range for this position is $97,204- $121,500 per year. This range reflects the compensation we reasonably expect to offer at the time of posting. Actual compensation will vary based on factors such as location, skills, experience, education, and internal equity. Because we operate across multiple U.S. markets, pay may differ depending on the cost of labor in specific locations. In addition to base salary, this position may be eligible for bonus, overtime or other forms of compensation and we offer a comprehensive benefits package that supports well-being, professional development, and work-life balance. Our recruiters are happy to share more about the specific salary range and total rewards package applicable to your location during the hiring process.

Ready to join us?

Please submit your application with your up-to-date CV. We invite diversity in all its forms and encourage applicants from all groups to apply.

Thank you for taking the time to apply! We look forward to receiving your application.

Work at the heart of sustainable change with Ramboll in the Americas

Ramboll is a global architecture, engineering, and consultancy company. As a foundation-owned people company, founded in Denmark, we believe that the purpose of sustainable change is to create a thriving world for both nature and people. So, that’s where we start – and how we work. Our history is rooted in a clear vision of how a responsible company should act and being open and curious is a cornerstone of our culture. Ramboll in the Americas has thousands of experts working across more than 70 offices. Ramboll experts deliver innovative solutions across Environment & Health, Water, Energy, and Planning & Urban Design.

Where People Flourish

Our mission is to create sustainable societies where people and nature flourish. This means that a culture of inclusion is embedded in everything we do.  Our people bring diverse backgrounds and experiences to the company, enabling us to deliver innovative and forward-thinking solutions to our clients. We also know how important it is to achieve the right balance of where, when, and how much you work. At Ramboll, we offer flexibility as part of our positive and inclusive approach to work. We are committed to equal employment opportunity, regardless of age, disability or medical condition, gender identity, marriage and domestic partnership, pregnancy and maternity, race, ancestry, or national origin, religion or belief, sex and sexual orientation, military service and veteran status, or any other protected characteristic. Ramboll wants to ensure opportunities are accessible to candidates with disabilities. So, please let us know if there are any changes we could make to the application process to make it more comfortable for you. You can contact us at [email protected] with such requests.

Company Description

Ramboll is a global architecture, engineering, and consultancy company. As a foundation-owned people company, founded in Denmark, we believe that the purpose of sustainable change is to create a thriving world for both nature and people. So, that’s where we start – and how we work. Our history is rooted in a clear vision of how a responsible company should act and being open and curious is a cornerstone of our culture. Ramboll in the Americas has thousands of experts working across more than 70 offices. Ramboll experts deliver innovative solutions across Environment & Health, Water, Energy, and Planning & Urban Design.

Job Description

Hybrid-based position in our Los Angeles or Irvine, CA office other locations in the US will be considered.

Applicants must be currently authorized to work in the United States on a full-time basis. No sponsorship is available for this position.

Are you excited about building applied AI solutions that improve how consulting teams deliver value? Are you motivated by advancing digital transformation in environmental and climate services? Are you a curious and hands-on data scientist who thrives in ambiguous problem spaces?

Your new role

As our new Senior Data Scientist, you will join the Air & Climate Global Service Line (GSL) Innovation & Digital Transformation (IDT) team to design and deliver applied AI and data-science solutions that accelerate consulting workflows and improve knowledge reuse.

You will be part of a collaborative, innovation-focused team working on prototype-driven solutions that address complex, real-world consulting challenges. This role combines modern AI application development with classical data science, and involves taking ideas from concept through prototype and pilot deployment. You will partner with Digital Product Engineering (DPE) for production readiness and scaling of successful solutions.

Your key responsibilities will be:

• Lead multiple applied AI and data-science efforts from concept through prototype and pilot, prioritizing business impact and adoption
• Design and build AI-enabled solutions, including retrieval-based systems and document-processing workflows, to improve knowledge access and automation
• Apply quantitative methods such as geospatial and time-series analysis to support consulting delivery and strengthen solution rigor
• Develop dashboards and lightweight applications that translate analytical outputs into decision-ready insights for consultants and clients
• Create reusable accelerators and share best practices to enable repeatable and scalable delivery across teams

Qualifications

About you

• Master’s degree in Data Science, Computer Science, Statistics, Engineering, or a related quantitative field (or equivalent experience)
• Demonstrated experience delivering applied data-science or machine-learning solutions in real-world settings
• Strong programming skills in Python for data processing, analysis, and model development
• Experience using version control tools such as Git for collaborative development
• Ability to communicate technical results clearly through visualization and data storytelling

Additional Information

What we can offer you

• Investment in your development
• Being valued for the unique person you are
• Never being short of inspiration from colleagues, clients, and projects
• The long-term thinking of a foundation-owned company

Salary Transparency Statement

At Ramboll, we are committed to fair and transparent compensation practices that support our people and our purpose of creating sustainable societies. The anticipated base salary range for this position is $97,204- $121,500per year. This range reflects the compensation we reasonably expect to offer at the time of posting. Actual compensation will vary based on factors such as location, skills, experience, education, and internal equity. Because we operate across multiple U.S. markets, pay may differ depending on the cost of labor in specific locations. In addition to base salary, this position may be eligible for bonus, overtime or other forms of compensation and we offer a comprehensive benefits package that supports well-being, professional development, and work-life balance. Our recruiters are happy to share more about the specific salary range and total rewards package applicable to your location during the hiring process.

Ready to join us?

Please submit your application with your up-to-date CV. We invite diversity in all its forms and encourage applicants from all groups to apply.

Thank you for taking the time to apply! We look forward to receiving your application.

Work at the heart of sustainable change with Ramboll in the Americas

Ramboll is a global architecture, engineering, and consultancy company. As a foundation-owned people company, founded in Denmark, we believe that the purpose of sustainable change is to create a thriving world for both nature and people. So, that’s where we start – and how we work. Our history is rooted in a clear vision of how a responsible company should act and being open and curious is a cornerstone of our culture. Ramboll in the Americas has thousands of experts working across more than 70 offices. Ramboll experts deliver innovative solutions across Environment & Health, Water, Energy, and Planning & Urban Design.

Where People Flourish

Our mission is to create sustainable societies where people and nature flourish. This means that a culture of inclusion is embedded in everything we do.  Our people bring diverse backgrounds and experiences to the company, enabling us to deliver innovative and forward-thinking solutions to our clients. We also know how important it is to achieve the right balance of where, when, and how much you work. At Ramboll, we offer flexibility as part of our positive and inclusive approach to work. We are committed to equal employment opportunity, regardless of age, disability or medical condition, gender identity, marriage and domestic partnership, pregnancy and maternity, race, ancestry, or national origin, religion or belief, sex and sexual orientation, military service and veteran status, or any other protected characteristic. Ramboll wants to ensure opportunities are accessible to candidates with disabilities. So, please let us know if there are any changes we could make to the application process to make it more comfortable for you. You can contact us at [email protected] with such requests.

DeepIntent is leading the healthcare advertising industry with data-driven solutions built for the future. From day one, our mission has been to improve patient outcomes through the artful use of advertising, data science, and real-world clinical data. For more information visit, www.DeepIntent.com.

What You’ll Do:

We are looking for an Applied AI Engineer to embed directly with our US commercial and operational teams building a human and agentic “operating system” that powers how we work as a company. In this role, you will be a builder and a problem-solver — someone who translates day-to-day operational pain points into practical AI agent and automation solutions that free up capacity for higher-value work.

This is an ideal role for someone who is passionate about applied AI, comfortable working across business and technical teams, and excited to see their work make an immediate and measurable impact.

Build & Deploy AI Agents and Automations

• Design, build, and deploy AI agents that automate administrative and repetitive workflows across commercial operations.
• Identify high-value automation opportunities by working directly with stakeholders to map processes and surface inefficiencies.
• Develop solutions using LLMs (e.g., OpenAI, Anthropic Claude), workflow automation tools, RESTful APIs, and Python scripting.
• Prototype, iterate, and ship working solutions quickly — moving from problem to deployed tool with minimal overhead.

Partner with Business Teams

• Serve as the technical point of contact embedded within commercial and PMO teams, building strong working relationships with non-technical stakeholders.
• Translate ambiguous business needs into clear technical requirements and executable solutions.
• Communicate progress, surface blockers, and present solutions in a way that is accessible to both technical and non-technical audiences.

Maintain & Document

• Create and maintain clear technical documentation for all tools, workflows, and integrations you build.
• Monitor deployed solutions and proactively identify opportunities to improve reliability, performance, and adoption.

Who You Are

• Bachelors or Masters degree in Computer Science, Mathematics or Engineering
• Hands-on experience with AI/LLM tools, including configuring and prompting models from providers such as OpenAI or Anthropic (i.e. you’ve successfully shipped a product or feature using Claude Code)
• 2+ years of hands-on software development experience, including internships, co-ops, or personal projects with deployed, real-world applications
• Comfortable working with RESTful APIs, MCP servers, and integrating third-party services.
• Scripting language (i.e. Python) proficiency — you can write scripts, build lightweight automations, and debug independently.
• Understanding of prompt engineering best practices.
• Naturally curious and proactive — you seek out problems, propose solutions, and don’t wait to be told what to build next.
• Strong communicator who can work fluidly across business and engineering functions.
• Comfortable with ambiguity — you can scope your own work and adapt as priorities shift.
• Based in or able to work effectively within Eastern Time (EST).

DeepIntent is proud to offer a competitive compensation package inclusive of a base salary range of $105,000 -$120,000. The base salary range takes into consideration each candidates skills, experience and qualifications. In addition, we offer an annualized bonus plan and competitive benefits as well as many other company offerings.

We believe great work starts with great support. That’s why DeepIntent offers a competitive, holistic benefits package designed to empower you both professionally and personally.

Here’s what you can expect when you join our team based in the US: Competitive base salary plus performance based bonus or commission, comprehensive medical, dental, and vision insurance, 401K match program, Unlimited PTO policy and paid holidays, remote friendly culture with flexible work options, career development and advanced education support, WFH and internet stipends, plus many more perks and benefits!

Here’s what you can expect when you join our team based in India: Competitive base salary plus performance based bonus, comprehensive medical insurance, and paid holidays. Hybrid-friendly culture with flexible work options, professional development reimbursement, WiFi reimbursement and health and wellness allowance plus many more perks and benefits!

Here’s what you can expect when you join our team based in Europe: Competitive base salary plus performance-based bonus, comprehensive medical insurance, and flexible PTO. Hybrid-friendly culture with flexible work options, professional development reimbursement, WiFi reimbursement, and parental leave plus many more perks and benefits!

DeepIntent is committed to bringing together individuals from different backgrounds and perspectives. We strive to create an inclusive environment where everyone can thrive, feel a sense of belonging, and do great work together. DeepIntent is an Equal Opportunity Employer, providing equal employment and advancement opportunities to all individuals. We recruit, hire and promote into all job levels the most qualified applicants without regard to race, color, creed, national origin, religion, sex (including pregnancy, childbirth and related medical conditions), parental status, age, disability, genetic information, citizenship status, veteran status, gender identity or expression, transgender status, sexual orientation, marital, family or partnership status, political affiliation or activities, military service, immigration status, or any other status protected under applicable federal, state and local laws. If you have a disability or special need that requires accommodation, please let us know in advance. DeepIntent’s commitment to providing equal employment opportunities extends to all aspects of employment, including job assignment, compensation, discipline and access to benefits and training.

CCPA Notice: If you are a California resident applying for a role at DeepIntent, we may collect personal information as part of the application process in accordance with the California Consumer Privacy Act (CCPA). To learn more about the categories of information we collect and your rights, please contact PeopleOps@deepintent.com to see our full Applicant Privacy Notice.

DeepIntent is leading the healthcare advertising industry with data-driven solutions built for the future. From day one, our mission has been to improve patient outcomes through the artful use of advertising, data science, and real-world clinical data. For more information visit, www.DeepIntent.com.

What You’ll Do:

We are looking for an Applied AI Engineer to embed directly with our US commercial and operational teams building a human and agentic “operating system” that powers how we work as a company. In this role, you will be a builder and a problem-solver — someone who translates day-to-day operational pain points into practical AI agent and automation solutions that free up capacity for higher-value work.

This is an ideal role for someone who is passionate about applied AI, comfortable working across business and technical teams, and excited to see their work make an immediate and measurable impact.

Build & Deploy AI Agents and Automations

• Design, build, and deploy AI agents that automate administrative and repetitive workflows across commercial operations.
• Identify high-value automation opportunities by working directly with stakeholders to map processes and surface inefficiencies.
• Develop solutions using LLMs (e.g., OpenAI, Anthropic Claude), workflow automation tools, RESTful APIs, and Python scripting.
• Prototype, iterate, and ship working solutions quickly — moving from problem to deployed tool with minimal overhead.

Partner with Business Teams

• Serve as the technical point of contact embedded within commercial and PMO teams, building strong working relationships with non-technical stakeholders.
• Translate ambiguous business needs into clear technical requirements and executable solutions.
• Communicate progress, surface blockers, and present solutions in a way that is accessible to both technical and non-technical audiences.

Maintain & Document

• Create and maintain clear technical documentation for all tools, workflows, and integrations you build.
• Monitor deployed solutions and proactively identify opportunities to improve reliability, performance, and adoption.

Who You Are

• Bachelors or Masters degree in Computer Science, Mathematics or Engineering
• Hands-on experience with AI/LLM tools, including configuring and prompting models from providers such as OpenAI or Anthropic (i.e. you’ve successfully shipped a product or feature using Claude Code)
• 2+ years of hands-on software development experience, including internships, co-ops, or personal projects with deployed, real-world applications
• Comfortable working with RESTful APIs, MCP servers, and integrating third-party services.
• Scripting language (i.e. Python) proficiency — you can write scripts, build lightweight automations, and debug independently.
• Understanding of prompt engineering best practices.
• Naturally curious and proactive — you seek out problems, propose solutions, and don’t wait to be told what to build next.
• Strong communicator who can work fluidly across business and engineering functions.
• Comfortable with ambiguity — you can scope your own work and adapt as priorities shift.
• Based in or able to work effectively within Eastern Time (EST).

DeepIntent is proud to offer a competitive compensation package inclusive of a base salary range of $105,000 -$120,000. The base salary range takes into consideration each candidates skills, experience and qualifications. In addition, we offer an annualized bonus plan and competitive benefits as well as many other company offerings.

We believe great work starts with great support. That’s why DeepIntent offers a competitive, holistic benefits package designed to empower you both professionally and personally.

Here’s what you can expect when you join our team based in the US: Competitive base salary plus performance based bonus or commission, comprehensive medical, dental, and vision insurance, 401K match program, Unlimited PTO policy and paid holidays, remote friendly culture with flexible work options, career development and advanced education support, WFH and internet stipends, plus many more perks and benefits!

Here’s what you can expect when you join our team based in India: Competitive base salary plus performance based bonus, comprehensive medical insurance, and paid holidays. Hybrid-friendly culture with flexible work options, professional development reimbursement, WiFi reimbursement and health and wellness allowance plus many more perks and benefits!

Here’s what you can expect when you join our team based in Europe: Competitive base salary plus performance-based bonus, comprehensive medical insurance, and flexible PTO. Hybrid-friendly culture with flexible work options, professional development reimbursement, WiFi reimbursement, and parental leave plus many more perks and benefits!

DeepIntent is committed to bringing together individuals from different backgrounds and perspectives. We strive to create an inclusive environment where everyone can thrive, feel a sense of belonging, and do great work together. DeepIntent is an Equal Opportunity Employer, providing equal employment and advancement opportunities to all individuals. We recruit, hire and promote into all job levels the most qualified applicants without regard to race, color, creed, national origin, religion, sex (including pregnancy, childbirth and related medical conditions), parental status, age, disability, genetic information, citizenship status, veteran status, gender identity or expression, transgender status, sexual orientation, marital, family or partnership status, political affiliation or activities, military service, immigration status, or any other status protected under applicable federal, state and local laws. If you have a disability or special need that requires accommodation, please let us know in advance. DeepIntent’s commitment to providing equal employment opportunities extends to all aspects of employment, including job assignment, compensation, discipline and access to benefits and training.

CCPA Notice: If you are a California resident applying for a role at DeepIntent, we may collect personal information as part of the application process in accordance with the California Consumer Privacy Act (CCPA). To learn more about the categories of information we collect and your rights, please contact PeopleOps@deepintent.com to see our full Applicant Privacy Notice.

Company

A1 is building a proactive AI smart assistant for everyday users to bring intelligence to conversations, errands, organising and workflows.

Our product focuses on achieving high reliability for long-running workflows, persistent context, and real-world task completion. The system must handle multi-step reasoning, interact with external tools, and remain reliable despite non-deterministic model behavior.

Role

As an Applied AI Engineer, you will turn model capabilities into real product behavior. You will own problems end-to-end, from shaping model behavior, to building the systems around it, to ensuring it performs reliably in production.

This role sits at the intersection of machine learning, systems, and product, focusing on making AI actually work for users, not just in demos, but in real-world usage.

 

Focus

• Build and ship AI features end-to-end (model → system → user experience)

• Design and iterate on prompts, tools, memory, and agent workflows

• Turn raw model outputs into structured, reliable, and predictable behaviors

• Debug issues across the full stack (model, orchestration, infra, UX)

• Optimize for latency, cost, and production reliability

• Develop lightweight evaluation frameworks to measure real-world performance

• Work closely with product and engineering to translate ambiguous problems into working systems

 

Tech Stack

• Python

• PyTorch / JAX

• LLMs (OpenAI-style APIs, LLaMA, Qwen, etc.)

• Inference / serving (e.g. vLLM)

• Vector DB

 

Ideal Experience

• Strong foundation in machine learning and modern neural network architectures.

• Hands-on experience with training, fine-tuning, or deploying ML models

• Ability to write clean, production-quality code

• Comfort working across abstraction layers (model → infra → product)

• Strong problem-solving skills in ambiguous, fast-moving environments

• Bias toward shipping, iteration, and continuous improvement

 

Outcomes

• ML models in production meet expected accuracy, latency, and reliability targets.

• Production issues are identified quickly, debugged effectively, and root causes addressed.

• Data pipelines, training loops, and inference systems are robust, reproducible, and maintainable.

• Collaborates effectively with engineers, product, and research teams to deliver reliable ML-powered features.

• Iterations on models and systems are driven by real-world signals and measurable improvements.

 

How We Work

The best products today in the world were built by small, world class teams. We make decisions collectively, move at rapid speed, striking a balance between shipping high quality work and learning. Joining our team requires the ability to bring structure, exercise judgment, and execute independently. Our goal is to put in hands of our users a truly magical AI product.

 

Interview process

If there appears to be a fit, we'll reach to schedule 3, but no more than 4 interviews.

Applications are evaluated by our technical team members. Interviews will be conducted via virtual meetings and/or onsite.

We value transparency and efficiency, so expect a prompt decision. If you've demonstrated the exceptional skills and mindset we're looking for, we'll extend an offer to join us. This isn't just a job offer; it's an invitation to be part of a team that's bringing AI to have practical benefits to billions globally.

We’re hiring an AI Video Creator to produce high-quality short- and long-form video using a modern generative AI stack.

Aledade’s AI Enablement team enables, educates, and supports the Product, Tech, and Analytics (PTA) organization in adopting developer-centric AI tools (Claude Code, MCP, plugins, skills, hooks). The Forward-Deployed Engineer (FDE) embeds directly with a PTA cohort — Point of Care, Risk, Data, or another team — to unblock AI adoption on the ground: shipping plugins and skills tailored to that team’s workflows, integrating their tools through the MCP Gateway, and turning hard-won lessons into reusable patterns for the broader platform. This is the role for engineers who think like internal consultants: meet teams where they are, build what they need today, and feed durable wins back into the marketplace and installer that the rest of Aledade depends on.

Primary Duties:

• Embed with a PTA cohort and ship targeted enablement. Pair with engineers, PMs, and analysts on the assigned team; build plugins, skills, hooks, and connectors that solve their highest-friction workflows; measure adoption and impact.

• Productize wins into the platform. Generalize cohort-specific work into reusable plugins, skill templates, and patterns published to the Claude Code Plugin Marketplace; document authorship guides; reduce the activation cost for the next cohort.

• Integrate new tools through the MCP Gateway + AWS connector layer. Add and harden MCP server integrations (Glean, Slack, Jira, Snowflake, Salesforce, Databricks, etc.) to the gateway; partner with security and platform owners on auth/scopes/observability.

• Feed back to the platform team and AI Unlock program. Contribute to roadmap and quarterly milestones; participate in office hours and brownbags as a practitioner; surface blockers (security, BAA, cost, throttling) early.

• Support adoption health. Help close the long tail of repos with no .claude/ config; mentor cohort engineers on agentic-coding patterns; on-call rotation for marketplace-published artifacts.

Minimum Qualifications:

• BS/BTech (or higher) in Computer Science, Engineering or a related field.

• 5+ years professional software engineering experience

• Production experience with at least one modern application stack (Python, TypeScript/Node, Go, or similar) and modern CI/CD.

• Demonstrated ability to ship end-to-end in unfamiliar codebases — e.g., consulting, forward-deployed, solutions, or platform-adjacent backgrounds.

• Direct hands-on experience with one or more agentic coding tools in a production or near-production setting (Claude Code, Cursor, Cody, Copilot agents, Aider, or equivalent).

• Strong written communication: comfortable producing documentation, runbooks, and educational artifacts for engineers who weren’t in the room.

Preferred KSA’s:

• Experience authoring or maintaining MCP (Model Context Protocol) servers, Claude Code plugins, skills, hooks, or comparable LLM-tooling integrations.

• Background in healthcare technology, HIPAA-regulated environments, or PHI-handling systems.

• Prior FDE / customer-facing engineering / solutions architect / TPM-with-IC-chops experience.

• Familiarity with Aledade’s stack (Python/FastAPI, Vue/TypeScript, Postgres, AWS, Auth0, Datadog, Sumo Logic) is a plus but not required.

• Experience integrating tools through API gateways, OAuth/M2M flows, or service meshes.

• Comfort across the full stack (frontend/backend/infra) — FDE work doesn’t honor team boundaries.

Physical Requirements:

Sitting for prolonged periods of time. Extensive use of computers and keyboard. Occasional walking and lifting may be required.

We may use automated tools, including artificial intelligence (AI), to help organize and evaluate application materials. These tools support our recruiters and hiring managers by helping manage large applicant pools. Human judgment plays an essential role in our hiring process, including in the oversight and use of any automated tools. If you would like more information about our screening and hiring process, please contact us.

Aledade’s AI Enablement team enables, educates, and supports the Product, Tech, and Analytics (PTA) organization in adopting developer-centric AI tools (Claude Code, MCP, plugins, skills, hooks). The Forward-Deployed Engineer (FDE) embeds directly with a PTA cohort — Point of Care, Risk, Data, or another team — to unblock AI adoption on the ground: shipping plugins and skills tailored to that team’s workflows, integrating their tools through the MCP Gateway, and turning hard-won lessons into reusable patterns for the broader platform. This is the role for engineers who think like internal consultants: meet teams where they are, build what they need today, and feed durable wins back into the marketplace and installer that the rest of Aledade depends on.

Primary Duties:

• Embed with a PTA cohort and ship targeted enablement. Pair with engineers, PMs, and analysts on the assigned team; build plugins, skills, hooks, and connectors that solve their highest-friction workflows; measure adoption and impact.

• Productize wins into the platform. Generalize cohort-specific work into reusable plugins, skill templates, and patterns published to the Claude Code Plugin Marketplace; document authorship guides; reduce the activation cost for the next cohort.

• Integrate new tools through the MCP Gateway + AWS connector layer. Add and harden MCP server integrations (Glean, Slack, Jira, Snowflake, Salesforce, Databricks, etc.) to the gateway; partner with security and platform owners on auth/scopes/observability.

• Feed back to the platform team and AI Unlock program. Contribute to roadmap and quarterly milestones; participate in office hours and brownbags as a practitioner; surface blockers (security, BAA, cost, throttling) early.

• Support adoption health. Help close the long tail of repos with no .claude/ config; mentor cohort engineers on agentic-coding patterns; on-call rotation for marketplace-published artifacts.

Minimum Qualifications:

• BS/BTech (or higher) in Computer Science, Engineering or a related field.

• 3+ years professional software engineering experience

• Production experience with at least one modern application stack (Python, TypeScript/Node, Go, or similar) and modern CI/CD.

• Demonstrated ability to ship end-to-end in unfamiliar codebases — e.g., consulting, forward-deployed, solutions, or platform-adjacent backgrounds.

• Direct hands-on experience with one or more agentic coding tools in a production or near-production setting (Claude Code, Cursor, Cody, Copilot agents, Aider, or equivalent).

• Strong written communication: comfortable producing documentation, runbooks, and educational artifacts for engineers who weren’t in the room.

Preferred KSA’s:

• Experience authoring or maintaining MCP (Model Context Protocol) servers, Claude Code plugins, skills, hooks, or comparable LLM-tooling integrations.

• Background in healthcare technology, HIPAA-regulated environments, or PHI-handling systems.

• Prior FDE / customer-facing engineering / solutions architect / TPM-with-IC-chops experience.

• Familiarity with Aledade’s stack (Python/FastAPI, Vue/TypeScript, Postgres, AWS, Auth0, Datadog, Sumo Logic) is a plus but not required.

• Experience integrating tools through API gateways, OAuth/M2M flows, or service meshes.

• Comfort across the full stack (frontend/backend/infra) — FDE work doesn’t honor team boundaries.

Physical Requirements:

Sitting for prolonged periods of time. Extensive use of computers and keyboard. Occasional walking and lifting may be required.

We may use automated tools, including artificial intelligence (AI), to help organize and evaluate application materials. These tools support our recruiters and hiring managers by helping manage large applicant pools. Human judgment plays an essential role in our hiring process, including in the oversight and use of any automated tools. If you would like more information about our screening and hiring process, please contact us.

Location: London

Office requirement: 2 days in the office - Significant travel required

Employment type: Permanent

Seniority level: Principal

At GWI we’re always looking for extraordinary people who thrive on making an extraordinary impact. Right now we’re looking for an Forward Deployed Engineer to play a key role in our Solutions Consultants Team in London. If that’s you, and making a difference gets you out of bed in the morning, keep reading. It could be the start of something, well, extraordinary.

Sounds great, what will I be doing? 🤔

As our Lead / Principal Forward Deployed Engineer you’ll be embedded directly with our most strategic accounts, owning the end-to-end technical deployment of our agentic AI platform. This isn’t a support role, and it isn’t a solutions consultant with a fancy title — you’ll write production code, own technical outcomes, and be the reason our biggest customers succeed and expand. You’ll operate with the autonomy of a founding engineer and the commercial instinct of a GTM leader.

A few things you’ll be responsible for:

👉 Embed with our Tier 1 enterprise accounts and own end-to-end deployments of our agentic AI platform — from discovery through to production, including bespoke integrations, data pipelines, and workflow automations.

👉 Lead AI agents into production in complex environments (legacy systems, security, compliance), turning cutting-edge capability into measurable business outcomes.

👉 Partner with Enterprise AEs in late-stage sales cycles — leading proof-of-concept builds and assessing technical readiness to de-risk and accelerate the close.

👉 Surface patterns from the field and feed them back to product and engineering, acting as the bridge between customer reality and roadmap.

👉 Build out the FDE practice as it scales: repeatable deployment playbooks, success metrics, and mentoring mid-level FDEs.

It’s also fun; shaking things up is what working for GWI is all about. You’ll need to be flexible, comfortable with continuous change, and working in a high-tempo environment.

What do I need to bring with me? 🧳

You’ll need to be able to demonstrate the core skills this role requires. You don’t have to tick all the boxes right away; the important thing is that you’re willing to learn.

Here’s what the team will be looking for in you:

👉 Significant experience in software engineering, solutions engineering, or a customer-facing technical role — with meaningful time spent shipping production code in complex enterprise environments.

👉 Demonstrable experience deploying AI or data-heavy products into large organisations — real production deployments, not just POCs.

👉 Strong full-stack or backend engineering fundamentals: Python essential, plus comfort across APIs, SQL, cloud infrastructure (AWS/GCP/Azure), and data pipelines.

👉 The ability to work through ambiguity and turn it into a concrete technical plan.

👉 Clear communication across technical and business audiences — you can tailor the same idea for an engineering lead and a commercial stakeholder.

👉 Willingness to travel to client sites across the UK and Europe (approximately 30–50% of the time).

Nice to have:

👉 Hands-on experience with LLM deployment, AI agents, or agentic workflow automation.

👉 A background in a high-growth B2B SaaS or AI-native company.

👉 Experience in one or more of GWI’s core verticals: financial services, media & agencies, consumer goods, or technology.

👉 Prior experience in an FDE, solutions architect, or technical account management function at a company with a named-account enterprise motion.

Equally important is attitude. We want people who think big (to make an impact), ask why (to find a better way), and show respect (to everyone, at every level, all the time). Those are our values, and they’re a big part of what we’re looking for in you.

What’s in it for me? 🎁

At GWI, you’ll find meaningful work, visible impact, and a culture that empowers you to do your best. Our package includes:

🌴 Time to recharge – 25 days’ annual leave, plus office closures over the holidays.

🧘 Health & wellbeing – Health cash plan, enhanced family benefits, carer days, and mental health support.

💸 Financial benefits – Competitive salary, 4% pension matching, and recognition programs that celebrate success.

🏡 Flexibility & balance – Flexitime, early Friday finishes, hybrid and remote options, plus a “work from home” budget.

💪 Career growth – Accredited learning, leadership development, and global career mobility.

🌎 Community & impact – DE&I initiatives, volunteering opportunities, donation matching, and payroll giving.

Put all that together and GWI is the friendliest, most fulfilling place any of us has ever worked.

Diversity, Equity & Inclusion

Diversity is fundamental to who we are—both as a data company and as a workplace. Our data reflects global realities, and so must our teams. We strive to ensure our workforce is as diverse and inclusive as the insights we provide to our clients.

As a Disability Confident employer, we welcome applications from disabled candidates and are committed to providing all necessary adjustments during the hiring process. We also actively encourage applications from underrepresented and marginalized communities.

At GWI, you will find a place where you can contribute meaningfully, grow professionally, and belong fully.

#li-hybrid

#LI-NIKOSSS1

Aledade’s AI Enablement team enables, educates, and supports the Product, Tech, and Analytics (PTA) organization in adopting developer-centric AI tools (Claude Code, MCP, plugins, skills, hooks). The Forward-Deployed Engineer (FDE) embeds directly with a PTA cohort — Point of Care, Risk, Data, or another team — to unblock AI adoption on the ground: shipping plugins and skills tailored to that team’s workflows, integrating their tools through the MCP Gateway, and turning hard-won lessons into reusable patterns for the broader platform. This is the role for engineers who think like internal consultants: meet teams where they are, build what they need today, and feed durable wins back into the marketplace and installer that the rest of Aledade depends on.

Primary Duties:

• Embed with a PTA cohort and ship targeted enablement. Pair with engineers, PMs, and analysts on the assigned team; build plugins, skills, hooks, and connectors that solve their highest-friction workflows; measure adoption and impact.

• Productize wins into the platform. Generalize cohort-specific work into reusable plugins, skill templates, and patterns published to the Claude Code Plugin Marketplace; document authorship guides; reduce the activation cost for the next cohort.

• Integrate new tools through the MCP Gateway + AWS connector layer. Add and harden MCP server integrations (Glean, Slack, Jira, Snowflake, Salesforce, Databricks, etc.) to the gateway; partner with security and platform owners on auth/scopes/observability.

• Feed back to the platform team and AI Unlock program. Contribute to roadmap and quarterly milestones; participate in office hours and brownbags as a practitioner; surface blockers (security, BAA, cost, throttling) early.

• Support adoption health. Help close the long tail of repos with no .claude/ config; mentor cohort engineers on agentic-coding patterns; on-call rotation for marketplace-published artifacts.

Minimum Qualifications:

• BS/BTech (or higher) in Computer Science, Engineering or a related field.

• 3+ years professional software engineering experience

• Production experience with at least one modern application stack (Python, TypeScript/Node, Go, or similar) and modern CI/CD.

• Demonstrated ability to ship end-to-end in unfamiliar codebases — e.g., consulting, forward-deployed, solutions, or platform-adjacent backgrounds.

• Direct hands-on experience with one or more agentic coding tools in a production or near-production setting (Claude Code, Cursor, Cody, Copilot agents, Aider, or equivalent).

• Strong written communication: comfortable producing documentation, runbooks, and educational artifacts for engineers who weren’t in the room.

Preferred KSA’s:

• Experience authoring or maintaining MCP (Model Context Protocol) servers, Claude Code plugins, skills, hooks, or comparable LLM-tooling integrations.

• Background in healthcare technology, HIPAA-regulated environments, or PHI-handling systems.

• Prior FDE / customer-facing engineering / solutions architect / TPM-with-IC-chops experience.

• Familiarity with Aledade’s stack (Python/FastAPI, Vue/TypeScript, Postgres, AWS, Auth0, Datadog, Sumo Logic) is a plus but not required.

• Experience integrating tools through API gateways, OAuth/M2M flows, or service meshes.

• Comfort across the full stack (frontend/backend/infra) — FDE work doesn’t honor team boundaries.

Physical Requirements:

Sitting for prolonged periods of time. Extensive use of computers and keyboard. Occasional walking and lifting may be required.

We may use automated tools, including artificial intelligence (AI), to help organize and evaluate application materials. These tools support our recruiters and hiring managers by helping manage large applicant pools. Human judgment plays an essential role in our hiring process, including in the oversight and use of any automated tools. If you would like more information about our screening and hiring process, please contact us.

The Mission

We are a trucking compliance business started in 1973. In the last 4 years we’ve successfully transitioned from DOS systems and dot matrix printers to streamlined processes and web-based systems using contract developers and our own technical abilities. About 18 months ago, the owner started vibing with Replit Agent and Claude Code to ship internal tools, integrations, and web applications across our brands. While that’s been fruitful as a proof-of-concept, the business owner is currently the primary builder, which is a terrible spot for a business owner to be.

We are looking for our first technical hire. A senior-level Full-Stack Developer who wants to get into the weeds and ship some cool internal systems and external services. We need a "Builder-in-Chief" to own the entire product lifecycle. You’ll embed with the client service team to identify friction points, help design the solution, and direct AI agents to execute the build. We’ll make sure you have the tools and an environment to do your best work.

The Stack & Your Technical Role

You won't be writing every line of code by hand, but you must be a master of the craft to validate, refactor, and secure what the AI produces. Because of our “just go with it” strategy, our stack has gotten wide. We’d like you to help us shape the stack going forward using your expertise. Our ecosystem currently includes:

• Core Apps: Ruby on Rails (our primary fuel tax app, FM22), Laravel (authority filings), and Express/React (Authority work order management). 
• Data & Infra: PostgreSQL, a variety of hosts (Render, DigitalOcean, etc), and various no-code/low-code integrations (Airtable, Zapier, Make).
• Agent Orchestration: You will leverage the 3C’s: Claude, Cursor, and Codex to ship features while maintaining high code quality through rigorous review.

Core Responsibilities

• Operational Deep-Dives: You won't be bogged down writing lengthy requirements documents; your focus is on understanding the work. You will embed with our compliance teams (IFTA reporting, IRP Renewals, FMCSA Operating Authority) to find the friction. That means faster, more informed building and ensures we ship the right, “wow” features for the team.
• Build with incremental ambition: We’re often better off with a shipped feature this week than we are waiting around for the perfect solution. Work with the team to find where it creates value and delight.
• System Design: Collaborate with our part-time architect to design robust data models, scalable approaches, and API integrations (e.g., integrating third-party ELD normalization platforms like Terminal).
• Design “Not-Too-Shabby” Frontends: It’s 2026, there’s no reason to ship an ugly UI or a poor user experience. Maybe the UI won’t win any awards for novelty, but it’ll be high on usability and will be easy on our middle-aged eyes.
• Testing & Deployment: Own the testing suite. You are responsible for ensuring that AI-generated code is maintainable and solves the business problem before it hits production.
• Technical Documentation: Ensure we have high quality and current technical documentation so enhancements, fixes, and maintenance are efficient. 

About You

• You have a track record of shipping production-grade software (not just prototypes).
• You would rather sit down and watch someone work than ask a series of academic questions
• You’ve developed deep domain knowledge in the past
• You are “stack-agnostic”. You should be comfortable moving between Rails, Laravel, and Python depending on the tool needed for the job, even if you have a preference for one over the other.
• You have a tinkerer mindset and a bias toward shipping, but with the discipline to keep our core data safe.

We're a small company building real systems that help keep thousands of trucks on the road every day. If you're the kind of person who's energized by ownership, solving problems, and seeing the direct impact of what you build, we'd like to hear from you.