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Software Engineer - Machine Learning

Duku AI

Greater London

On-site

GBP 50,000 - 70,000

Full time

Today
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Job summary

A pioneering technology company in Greater London is seeking a QA engineer to help develop autonomous testing agents. The ideal candidate will have experience in shipping AI features, strong fluency with AI/LLMs, and a relentless drive for product success. Responsibilities include deploying daily, training AI agents, and collaborating closely with leadership. This role is perfect for those who thrive in fast-paced, chaotic environments and desire to shape the future of software quality through innovation.

Qualifications

  • Experience shipping AI features in production environments.
  • Demonstrated ability to thrive in chaotic startups.
  • Strong understanding of LLMs and prompt engineering.

Responsibilities

  • Deploy daily and iterate quickly on user feedback.
  • Collaborate with founders to shape product roadmaps.
  • Train AI agents to adapt to real-time changes.
  • Own full stack development from commit to production.
  • Experiment with models and retrieval pipelines.

Skills

Fluency with AI/LLMs
Relentless drive
Startup experience
Product obsession

Tools

Python
TypeScript
Job description

QA slows the world down. Flaky tests kill trust, stall releases, and bleed engineering velocity.

Duku AI is ending that era.

We’re building autonomous agents that think like engineers: they run every critical user journey, catch failures before users do, and self-heal as the codebase evolves. Real AI teammates, not test scripts that break on impact.

We’re venture-backed and led by operators who’ve scaled Meta’s testing infrastructure, launched Uber’s global playbooks, and grew Deliveroo from zero to hypergrowth. We know what elite execution looks like and we’re hunting for one more builder to help us rewrite the rules of software quality.

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
  • Product obsession: You care more about outcomes than outputs
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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