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Founding Engineer

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Dex
Full Time position
Listed on 2026-09-13
Job specializations:
  • Software Development
    Backend Developer, Python, AI Engineer (Applied/Software), Full Stack Developer
Salary/Wage Range or Industry Benchmark: 120000 GBP Yearly GBP 120000.00 YEAR
Job Description & How to Apply Below
Position: Founding Engineer (up to £120k)
Location: Greater London

This role is with one of Dex's trusted partner companies. We work closely with their teams to truly understand their culture, goals, and what they're looking for, so we can match you with the right opportunity and give you context about the role before you commit to a process.

This company is building the compliance layer for regulated infrastructure, starting with critical national assets like the NHS estate. They are solving a genuinely hard problem: bringing search, evidence, workflow, and assurance into one platform for sectors where safety and regulatory adherence is paramount. With paying customers and strong traction, they are rapidly expanding their impact.

As a Founding Engineer, you'll be the senior addition to a small, high-calibre engineering team, working alongside the CTO and Head of ML & Platform. This isn't a role where you'll be handed detailed specs; you'll own problems end-to-end, from understanding user needs to designing and shipping solutions. You'll make architectural decisions that directly impact the product, not just implement them.

The

work
  • Build agentic AI workflows that hold up in production.
  • Lead backend development in Python and FastAPI.
  • Architect the PostgreSQL data layer.
  • Drive CI/CD and Azure deployments.
  • Contribute to the React frontend when needed.
What You Bring
  • You've owned an area of responsibility back-to-front at a startup, taking customer requirements through to production code, without needing to have managed anyone.
  • You're strong in Python backend work and think in domain-driven design, clean architecture, and event-driven patterns.
  • You've built with large language models in real systems that shipped, not just experimented with them.
  • You use AI coding tools as a normal part of how you work, and you're pushing on what they can do.
  • You're comfortable travelling to the Cambridge office once a week to sync with the rest of the engineering team.
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