We build AI systems that go into production.
Retrieval pipelines, agents, document processing, evaluation tooling. We are continuously identifying high-potential AI talent to work with DStarix as we grow.
Show us what you can build
We are looking for talented people who can build with AI — not just talk about it.
If you have built AI agents, RAG systems, retrieval pipelines, document intelligence systems, evaluation frameworks, LLM applications or other serious AI projects, send us your work.
Share a GitHub repository, project, technical write-up or demo — anything you are genuinely proud of. We care about what you can build, how you think, and how you solve real problems.
We are continuously identifying high-potential AI talent to work with DStarix as we grow. Strong builders who demonstrate exceptional technical ability may be considered for future opportunities with us.
Do not just send us your resume. Send us your work.
Students and interns
If you are a student who wants to work on applied AI rather than tutorials, write to us with what you have built and what you want to learn. Show us a project, a repository or a demo — that tells us far more than a resume does.
Small team, real systems
An accurate picture of the work you would be doing with us.
Real ownership
You own what you build end to end. The work is direct, the feedback loop is short, and the systems you ship carry your judgement in them.
Engineering, not slideware
The work is building systems that go into production: retrieval pipelines, agents, document processing, evaluation harnesses. If you want to write code, that is the job.
Breadth by necessity
A small team means you touch the whole stack — data, model layer, backend, deployment and the conversation with the client about what is actually needed.
The principles we hold to
Rigor over hype
We would rather show you an evaluation than a demo. If we cannot measure it, we do not claim it.
Own the outcome
We are accountable for whether the system works in your business, not for shipping a deliverable.
Safety by design
Access controls, approval gates and rollback are part of the architecture, not added afterwards.
Ship in short cycles
You see working software regularly rather than a status report at the end of a quarter.
Be straight with clients
Including when the honest answer is that AI is the wrong tool for the problem.
Craft matters
From architecture to interface, the details other teams skip are usually the ones that break later.
Built something you are proud of?
Send it over. We read everything, and we would rather meet good engineers early than late.