Product Engineer (Full-stack AI Product Development)
Own and ship end-to-end AI-powered workflows from UI to backend, integrating LLMs and agents into production systems. Build with React, TypeScript, and Python across frontend and backend, directly collaborating with users to translate complex processes into intuitive products. Requires strong full-stack experience, ownership mindset, and comfort in fast-paced, evolving environments.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
I'm working with a fast-growing AI startup in London that's building software to modernize complex, real-world workflows across industries including aerospace, healthcare, and energy.
The company raised a $4.5M seed round that was 14× oversubscribed, backed by Tier-1 investors with links to companies including Coinbase, Reddit, Klarna, and Spotify. They're now on track to raise their Series A.
The team includes former unicorn founding engineers and talent from X, Google, Amazon, and Yandex. It's a small, highly technical environment built around ownership, speed, and shipping.
They're now hiring a Product Engineer to own user-facing workflows end-to-end. This isn't a ticket-based engineering role. You'll work out what should be built, shape the product, build across the frontend and backend, and ship directly to users.
What you'll be doing
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- Building end-to-end product workflows from UI through backend logic and data
- Developing production-grade frontend systems using React and TypeScript
- Building backend services and APIs in Python
- Integrating LLMs, agents, and model-backed APIs into real production workflows
- Working directly with users to understand complex processes and turn them into intuitive products
- Owning features from initial problem definition through deployment
- Shipping to production from Day 1
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What they're looking for
Strong experience with TypeScript, React, and Python, alongside experience building and shipping full-stack products.
You'll ideally have worked with LLMs, AI agents, or model-backed APIs in production and be comfortable operating in environments where requirements are unclear and constantly evolving.
Experience as a founder/ex-founder, within an early-stage or stealth startup, or through environments such as EF, YC, or Antler is a strong plus.
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The environment
This is an onsite role in London, 6 days a week. It's an intense, high-ownership environment, but hours aren't tracked, you manage your own time and are trusted to own your outcomes.
Visa sponsorship and relocation support are available, with visas, meals, and tools fully covered.
If you're a product-minded engineer who wants to build quickly, own meaningful product decisions, and ship AI products used in complex real-world environments, I'd love to chat.
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