AI Systems Engineer - STEM Workflow

Employer description and requirements

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.

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:

Commitments Required : Overlap of 4 hours with PST and 40 hrs/week

Engagement type : Contractor assignment/freelancer (no medical/paid leave)

Duration of contract : 4 weeks