As an AI Engineer, you will build a robust, scalable platform for our intelligence on top of foundation models. You will architect a complete system that surrounds the LLMs, managing the complex, multi-step interactions required to extract and synthesize information. You must be comfortable working in, and building, the high-performance infrastructure that makes our fast, self-improving reasoning possible.
You are a good fit if you:
- Think and breathe Python. You are a Python engineer proficient in building complex, agentic systems or multi-step, stateful execution frameworks.
- Work autonomously to develop both clearly defined and ambiguous ideas, including your own, into reality.
- Excel at designing and building reliable, high-performance infrastructure that interacts heavily with external, third-party LLMs – some experimental, some large-scale and publicly deployed.
- Can architect clean abstractions for complex workflows, specifically synthesizing fragmented information gathered over thousands of parallel, asynchronous queries.
- Care deeply about code quality, performance profiling, and building the stable, scalable platform that allows research to run autonomously.