Poetiq develops an AI meta-system that layers on top of frontier large language models (LLMs) to create specialized, recursively self-improving agents for tougher reasoning tasks.
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.