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.
Skills Required
- Proficient in Python engineering
- Experience building agentic systems or multi-step, stateful execution frameworks
- Designing and building reliable, high-performance infrastructure interacting with third-party LLMs/APIs
- Ability to synthesize fragmented information from thousands of parallel asynchronous queries
- Strong focus on code quality and performance profiling
- Ability to work autonomously on both well-defined and ambiguous problems
What We Do
Poetiq’s platform integrates with any major frontier large language model, including ChatGPT, Claude and Gemini, to reduce the data, time and cost required for advanced problem-solving.
