Full Stack Software Engineer
About this role
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.
Company at a glance
As AI commoditises code generation, the bottleneck moves from writing software to trusting it. Verification is the layer that determines whether AI-generated code ships to production or stalls in review.
Code-level tests rot every time the implementation changes.
Product-level verification does not care how the code was written, only whether the product still does what users came to do.
Duku continuously simulates your users so you can trust every release, before it ships.
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