Forward Deployed AI Engineer

32Co

Forward Deployed AI Engineer developing AI-driven features to enhance clinician and patient experiences for a healthcare platform starting with London office. Driving measurable outcomes through technical solutions and user collaboration.

Posted 7/6/2026full-timeLondon • 🇬🇧 United KingdomMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates strong engineering ability with a focus on AI-powered feature development, ensuring quality and measurable impact through user-driven insights and iterative processes. Capable of owning the entire feature lifecycle while connecting technical solutions to strategic business outcomes.

Highest-signal resume keywords

AI-Powered Feature DevelopmentEnd-to-End Feature OwnershipUser Research and InsightsQuantitative and Qualitative AnalysisStartup Mindset

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Production Code WritingPrototypingFeature Lifecycle ManagementTechnical Requirement TranslationProduct Analytics

Soft Skills

Curiosity About AIAdaptabilityProactivityUser-Focused MindsetCommercial Awareness

Industry Keywords

Clinical Decision-MakingPatient OutcomesOperational EfficiencyEmerging AI TechnologiesFeature Adoption Metrics

About the role

Key responsibilities & impact

Design, build, and ship AI-powered features that improve clinical decision-making, patient outcomes, and operational efficiency.
Own the end-to-end feature lifecycle: prototype, production code, deployment, and post-launch optimisation, ensuring quality, performance, and measurable impact.
Work directly with clinicians and customers to turn real-world problems into working software, iterating quickly on live feedback.
Collaborate with other engineers to keep solutions technically sound, scalable, and maintainable.
Evaluate emerging AI technologies, prototype rapidly, and define implementation approaches with a bias toward shipping.
Translate ambiguous opportunities into concrete technical requirements and working systems.
Creating and maintaining key feature evals to monitor and improve products you have built.
Use quantitative and qualitative insights, including product analytics, user feedback, and clinical research, to prioritise what to build and validate hypotheses.
Define and instrument key metrics for feature adoption, effectiveness, and business impact, continuously iterating for optimal outcomes.
Conduct hands-on user research to identify unmet needs where engineering can deliver significant value.
Benchmark against competitors and emerging AI trends to keep the product innovative.
Connect what you build to strategic outcomes such as user retention, operational efficiency, and revenue growth.
Serve as the technical owner for your verticals, communicating progress and impact to stakeholders across the business.

Requirements

What you’ll need

Strong engineering ability and a drive to build; you'd rather ship a working prototype than write a spec about one.
Naturally curious about AI, actively seeking opportunities to enhance products and internal workflows through emerging technologies.
Comfortable owning features end-to-end, from writing production code to deploying and iterating in front of real users.
Strong commercial awareness and an interest in connecting AI opportunities to measurable business outcomes.
User-focused and insight-driven, leveraging qualitative and quantitative inputs to inform thoughtful technical decisions.
Startup mindset: proactive, adaptable, and energized by working in fast-moving, evolving environments.
Location: Able to commute to our London office on Mondays, Wednesdays, and Fridays.

Benefits

Comp & perks

25 days holiday + your birthday off - because no one should work on their birthday!
Outsized leverage and full ownership - real authority today, lasting impact tomorrow; what you build now shapes how this company operates at every stage after.
Grow fast - backed by top VCs and built by the best; you'll be learning from some of the sharpest minds in health-tech every single day.
Vitality Health cover - private medical insurance, because we take care of the people who take care of the business.
Team Perks - enjoy regular team lunches, quarterly socials, and an annual company retreat.
Hybrid working - we all come together three days a week, but the rest of the time, enjoy the flexibility to work from home or our Hoxton office.