AI Product Engineer | Full-Stack | Python | React | TypeScript | LLMs | Startup Experience Required
Salary: £145,000 - £160,000 + meaningful cash bonus + equity
Contract: Permanent Start: ASAP
Working Model: Hybrid – London (2/3 days a week in office) Location: London
Eligibility: Open to candidates with existing UK work authorisation - No sponsorship
Tech Stack: Python (FastAPI) | React | TypeScript | LLMs | Agentic Frameworks | RAG | K8s | AWS / GCP / Azure (Required)
This is a rare opportunity to join one of Europe's most well-backed AI product teams - working across a portfolio of high-growth B2B SaaS companies and tasked with building transformative AI products from the ground up.
You won't be building demos. You won't be a consultant. You'll be an AI product engineer with founding-level ownership, building real products for real customers, at real scale - with the resources and infrastructure of an established business already behind you.
Products are conceived, built, and shipped in focused sprints inside companies that already have customers, go-to-market, and infrastructure in place. That means no typical startup risk - but all the pace, ownership, and upside of being a founder.
The team is small, the bar is high, and the impact is immediate. If that sounds like your environment, read on.
ℹ️ Important Notes Before You Apply
* This is a hands-on engineering role - not suitable for pure ML engineers, data scientists, or non-coding profiles
* You must be comfortable owning the full product lifecycle: ideation → build → ship → iterate
* Some direct interaction with senior stakeholders and customers is required
* High autonomy is the default - you'll be expected to create specs, not wait for them
Must-Haves
* 5+ years of full-stack engineering experience across backend, frontend, and infrastructure
* Recent, hands-on experience shipping customer-facing AI products - LLMs, agentic frameworks, or RAG - in the last 1–2 years
* Strong Python backend - FastAPI preferred
* React and TypeScript on the frontend
* Cloud infrastructure exposure (K8s, AWS, GCP, or Azure)
* Startup or high-growth scale-up experience - fast pace, high ownership, 0→1 delivery track record
* Proven ability to ship at scale and work directly with customers or senior stakeholders
* Strong communication skills - you'll interface with senior leaders across multiple businesses
Bonus Experience
* Experience in enterprise B2B SaaS environments
* Past founding engineer or early-stage technical founder
* Experience managing multiple stakeholders across complex organisations
* Open-source contributions in AI or engineering tooling
What You'll Be Doing
Product Engineering
* Own end-to-end development of production AI systems - from early concept to live customers
* Build customer-facing AI applications across a range of high-growth B2B SaaS businesses
* Work across the full stack: infra, backend, and frontend - whatever the product needs
AI Development
* Build and ship AI products using LLMs, agentic frameworks, and RAG architectures
* Develop reusable tooling and infrastructure to accelerate future product builds
* Continuously improve reliability, performance, and capability of live AI systems
Collaboration & Iteration
* Work closely with senior leadership, customers, and internal engineering teams
* Translate real-world user and business problems into product and technical direction
* Feed insights from the field directly back into product evolution and roadmap decisions
What They're Looking For
A sharp, full-stack engineer who's genuinely excited about AI - not just as a tool, but as a product. Someone with the mindset of a founding engineer: you don't wait for direction, you create it. You thrive in ambiguity, ship fast, and care deeply about what you build and who it's built for.
If you meet the above requirements and want to build AI products that create real-world impact at scale, get in touch for a fast response.