You will design and deploy multi-step AI agents for advanced mathematical and scientific workflows. The work includes turning proofs and dense technical material into structured specifications, automated pipelines, and dependable software systems.
You will work with mathematical researchers to create reusable systems for STEM-focused AI agents and improve how they reason, use tools, manage state, and record execution steps.
- Design workflows for multi-step reasoning, hypothesis generation, and technical validation.
- Build reusable agent architecture, tools, and memory systems for STEM applications.
- Use Python, language model orchestration, structured outputs, tool integrations, and state management.
- Evaluate and improve agent accuracy, reliability, and execution traces.
- Translate complex academic material into modular software systems.