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Duku AI

Full Stack Software Engineer

Posted 8 Hours Ago
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In-Office
London, Greater London, England, GBR
Entry level
In-Office
London, Greater London, England, GBR
Entry level
Build and define a full-stack autonomous testing platform powered by AI agents. Responsibilities include developing LLM-powered testers, experimenting with models, embeddings, and retrieval pipelines, owning frontend, backend, and cloud infrastructure, deploying frequently, engaging with users, and converting prototypes into production software. The role requires high ownership, rapid execution, product focus, and experience working in startup environments.
The summary above was generated by AI

Change Software Forever


Most engineering roles build software nobody fully trusts. This one builds the trust layer itself. AI is making engineers dramatically more productive. The problem is nobody fully trusts what AI ships.


Why this matters now


AI is rewriting how software gets built. But shipping still breaks on testing. Engineering leaders are desperate to release faster without dropping quality, and they can't get there with manual QA or brittle test automation.

Here's the bigger shift: as AI writes more of the code, the bottleneck moves from generating software to trusting it. Nobody owns that trust layer yet. Duku is building it, autonomous agents that simulate real users, catch critical failures before production, and self-heal as the product evolves.


Backed by experienced operators and investors, we're building what we believe will become a core layer of the modern software stack. We're looking for an exceptional Full Stack Software Engineer to help build it. Not someone to maintain a codebase. Someone to define one.

What You’ll Do

  • Ship fast, learn faster : We deploy daily, not monthly
  • Talk to users, shape the roadmap : Sit in the trenches with founders on calls that define what we build
  • Train AI agents: Design LLM-powered testers that explore, learn, and adapt in real time
  • Own the stack :Python, TypeScript, cloud infra, from commit to production
  • Turn prototypes into production : Run real experiments on models, embeddings, and retrieval pipelines


What We’re Looking For

  • Relentless drive: You execute fast, adapt faster
  • Startup scar tissue : You’ve shipped product with no safety net
  • Fluency with AI/LLMs : LangChain, vector stores, prompt engineering
  • Full-stack firepower : Frontend, backend, infra, no silos
  • Product obsession : You care more about outcomes than outputs
  • Experimental instinct: You build → test → learn → repeat


Ideal Background

There’s no perfect pedigree. We hire for mindset, not credentials. That said, you might have:

  • Shipped AI features in prod
  • Built something from 0 to 1
  • Thrived in chaos with high ownership


Why This Matters

Software is accelerating. QA hasn’t kept up. Autonomous testing is inevitable, and we’re building it.

Five years from now, every high-velocity team will rely on AI agents like ours to ship faster, safer, and smarter.


Join now, and help make that future real, before someone else does.

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