AI Systems Engineer (STEM Math Workflows)
About the role
Turing is seeking a Senior AI Systems Engineer with deep expertise in multi step agentic architecture to support a high impact, exploratory mathematics research initiative. In this role, you will bridge pure mathematics and technical execution, designing and deploying complex AI agents capable of reasoning through advanced scientific and mathematical workflows.
What you'll do
- 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.
Requirements
- 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.
About Turing
Turing is an AI company based in San Francisco that works with the world's leading AI labs to make their models better at reasoning, coding, languages and more. It also helps businesses build real AI systems, and it works with talent from over 100 countries.
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