AI Systems Engineer - STEM Workflow

Key Responsibilities

• Design, build, and optimize multi-step agentic workflows capable of multi-hop reasoning, hypothesis generation, and technical validation.
• Collaborate closely with mathematical researchers to translate complex, abstract proofs into structured technical specifications and automated pipelines.
• Develop reusable architectural frameworks, tooling, and memory systems for STEM-focused AI agents.
• Evaluate and iterate on agent performance, ensuring high accuracy, reliability, and trace logic across execution steps.

Qualifications

• Technical Expertise: Proven track record of architecting and deploying production-grade, multi-step agentic systems (e.g., using frameworks like LangGraph, AutoGen, CrewAI, or custom orchestration).
• Domain Experience: Background building AI/ML applications within STEM domains (Mathematics, Physics, Computer Science, or Quantitative Finance).
• Core Skills: Advanced Python proficiency, experience with LLM orchestration, structured output generation, tool integration, and state management.
• Problem-Solving: Comfort working alongside subject-matter experts to translate dense academic material into modular software systems.

Offer Details