Forward Deployed AI Engineer

Jobtailor; Greater London; On-site; GBP 90,000 - 120,000; Full time

Job summary

Jobtailor is seeking a proactive AI-focused software engineer to design, build and ship AI-powered features that improve clinical decision-making and operational efficiency at our London offices. You will own the end-to-end lifecycle from prototype to production deployment, ensuring quality and measurable impact.

You will work with clinicians and customers, translate real-world problems into technical solutions, and benchmark against emerging AI trends to keep the product innovative and aligned

Qualifications

• Strong engineering ability and a drive to ship working prototypes.
• Naturally curious about AI, actively seeking opportunities to enhance products and workflows through emerging technologies.
• Comfortable owning features end-to-end, from writing production code to deploying and iterating with 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 fast-moving environments.

Responsibilities

• Design, build, and ship AI-powered features that improve clinical decision-making and operational efficiency.
• Own the end-to-end feature lifecycle: prototype, production code, deployment, and post-launch optimisation.
• Collaborate with clinicians and customers to translate real-world problems into working software.
• Evaluate emerging AI technologies and define implementation approaches with a bias toward shipping.
• Define and instrument key metrics for feature adoption, effectiveness, and business impact.

Skills

Strong engineering ability

Curious about AI

End-to-end ownership

Commercial awareness

User-focused

Startup mindset

Job description

Overview

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

• 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.