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LinuxRecruit is seeking a brilliant engineer to dive into agentic AI, getting large language models to collaborate, reason, and orchestrate complex systems. This is hands-on engineering—wiring up LLMs to build tools that think, delegate, and act autonomously.
If you’ve built autonomous agents or hacked heady side projects, you’ll fit right in. You’ll join a tight-knit team that values technical brilliance and ownership from day one; the work centers on products where agentic systems go beyond
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&rsquove been experimenting with autonomous agents, chaining LLMs, or hacking together side projects that push the edge of what AI can do, you&rsquoll fit right in.
You might be:
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&rsquove got the talent to lead in this space, even if you&rsquore early in your career, this role is built for you.
You&rsquoll 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&rsquoll 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&rsquore chasing the thrill of solving unsolved problems with code, and if agentic AI is where your tea is, we want to talk.
Work in a place where excellence is the norm. Talent dense.
Are you a technical leader who thrives when the stakes are at their highest?
Building foundation model style AI for physical intelligence and pioneering a system that allows robots to learn complex physical tasks from just a single human demonstration (think "prompting" a robot in the physical world).