Software Engineer - AI Product

Stott And May — United Kingdom · Posted ~2 hours ago

Senior Full-time Visa History ✓

Skills

Software engineering Python LLM AI agents Tool use Structured data Integrations Production systems

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Summary ✨ AI‑Generated

Join a fast-growing AI engineering team building practical intelligent systems for a highly regulated domain. You will combine product engineering and applied AI, work directly with customers, shape what gets built, and take LLM-powered workflows, agents, integrations, and structured-data systems into production.

Highlights

Join a high-growth AI-focused environment with substantial ownership, direct customer interaction, product influence, and the opportunity to build reliable AI systems used in real-world healthcare settings.

Description

Software Engineer - AI Product Start-up I’m working with a high-growth HealthTech company building genuinely useful AI products for healthcare, and they’re now looking for an exceptional engineer to join the team as they scale. This is one of those roles that could suit someone who’s found themselves wanting more ownership, more product influence and closer proximity to the customer than you typically get in a larger technology company. You’ll be working on their core AI product, building technology that is already being used in real healthcare environments. The role sits somewhere between product engineering, applied AI and Forward Deployed Engineering - you'll be writing code, but you’ll also spend time with customers understanding problems, figuring out what should be built and then taking it through to production. The problems are genuinely interesting: LLM-powered workflows, agents, tool use, structured data, integrations and building systems that need to be reliable enough to operate in the real world. You’ll have a high level of ownership and plenty of room to influence both the product and the technical direction. What you'll be doing Building and shipping AI-powered product features end-to-endWorking across TypeScript, Python, APIs, databases and cloud infrastructureDeveloping LLM/agentic workflows that can interact with real systems and dataWorking directly with customers and understanding how the product performs in practiceTurning ambiguous problems into simple, scalable solutionsThinking about the less glamorous (but important) side of production AI - reliability, evaluation, latency, cost and failure modesWorking closely with product and engineering to shape what gets built nextHaving genuine ownership rather than simply implementing someone else's spec Who I'm keen to speak to You don't necessarily need to be a “Forward Deployed Engineer”. They're more interested in strong software engineers who have moved into AI and enjoy building things from scratch. You'll ideally have: 3+ years of production software engineering experienceAbility to work in a customer facing environmentStrong Python and/or TypeScriptExperience building and shipping LLM/AI products, rather than just experimenting with themStrong engineering fundamentals across APIs, databases and cloudAn appetite for ambiguity and ownershipThe sort of mindset where, if you see something that needs doing, you get on with it