Burns Sheehan
Product Engineer
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AI Product Engineer | £85,000-£95,000 + equity
Are you a product-minded engineer who lives and breathes AI tools, cares deeply about product quality, and enjoys getting close to real customers and real problems from day one?
If so, this one’s worth a look.
This is an early-stage business building an AI product that takes the operational grind out of a traditionally manual, high-complexity industry. This isn’t a company dabbling in AI - it’s built around it. The team is lean, the product is live, customers are converting and a major enterprise pilot is weeks away.
They’re now hiring an AI Product Engineer to help build, test and improve the product at pace. You’ll own the quality bar across the platform: creating and tuning evaluation suites, test scenarios and graders; tracking performance and spotting where things break; and using that insight to shape what the team builds next.
This is a genuinely product-led role. You’ll work closely with the Lead PM, engineering, Customer Success and the founders, with real input into what gets built next.
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You’ll also be expected to get hands-on, using modern AI development tools to prototype, build and iterate on workflows and product solutions yourself where it makes sense.
What they’re looking for
- Experience owning product outcomes end to end - from understanding customer problems and defining what to build, through to delivery, measurement and iteration
- Direct software development experience is important - ideally someone who has built and shipped real products, tools or workflows themselves
- Someone who uses AI tools every day as a natural part of how they work, ideally including Claude Code, Cursor or similar
- Comfortable moving from an ambiguous problem to a practical prototype or working solution, without needing a fully resourced engineering cycle around them
- Strong product judgement: able to turn customer feedback, quality data and commercial context into clear priorities and sensible trade-offs
- A sharp eye for product quality, backed by a structured and analytical approach to diagnosing what’s going wrong and why
- Comfortable being close to customers, translating messy feedback, call transcripts and live issues into clear problems the team can act on
- High ownership, clear communication and genuine energy for early-stage pace and ambiguity
- Experience with AI evaluations, model testing, prompt evaluation, product QA or building agentic workflows would be a real plus
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This is a high-impact role in a business at a genuinely interesting point: live product, strong traction, an enterprise pipeline moving and a meaningful opportunity to shape how AI quality and product delivery work as the company scales.
Please apply now for more information on the role and company!
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