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:
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Think and breathe Python. You are a Python engineer proficient in building complex,
agentic systems or multi-step, stateful execution frameworks.
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Work autonomously to develop both clearly defined and ambiguous ideas, including
your own, into reality.
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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.
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Can architect clean abstractions for complex workflows, specifically synthesizing
fragmented information gathered over thousands of parallel, asynchronous queries.
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Care deeply about code quality, performance profiling, and building the stable,
scalable platform that allows research to run autonomously.