Quick overview
Job description
Ready to build the frontier of AI that talks to itself?
We're looking for a brilliant engineer to dive headfirst into one of the most fascinating frontiers in tech: agentic AI, getting large language models to collaborate, reason, and orchestrate complex systems together.
This isn’t research in a lab or tweaking another foundational model. This is raw, hands- on engineering: wiring up LLMs to build tools that think, delegate, and act autonomously. It’s early stage, high impact, and moves fast. If you’ve been experimenting with autonomous agents, chaining LLMs, or hacking together side projects that push the edge of what AI can do, you’ll fit right in.
You might be:
- The hacker who's been dominating AI hackathons with weird, wonderful prototypes.
- The autodidact who's taught themselves how to build intelligent agents and can’t stop building.
- Or someone already working in the guts of agentic systems, a contributor to bleeding edge frameworks or small, high-caliber AI teams.
We don’t care about PhDs, pedigrees, or perfect CVs. What matters is technical brilliance, curiosity, and the kind of instinct that comes from actually doing the work. If you've got the talent to lead in this space, even if you're early in your career, this role is built for you.
You’ll be joining a small, tight knit engineering team that's serious about AI, obsessed with product, and eager to hand you real ownership from day one. You'll be working on products where agentic systems aren't just a cool experiment, they're the core.
If your GitHub is full of side projects you couldn’t stop building, if you're chasing the thrill of solving unsolved problems with code, and if agentic AI is where your tea is, we want to talk.
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