ML/AI Systems Engineer

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.

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:

• Remote
• 40 hours per week with overlap of 4 hours with PST.
• Duration of contract : 4 weeks
• Location : India, Nigeria, Egypt, Ghana, Bangladesh, Turkey, Mexico, Argentina, Brazil, Chile, Colombia and Peru

Please note: This position is paid on a task based model. The hourly rate listed in this form is only an estimated average to provide compensation context. The final payment will depend on the tasks completed.

Important note: Due to the high volume of applications, we are unable to provide individual feedback at this stage. Only candidates shortlisted for the next steps will be contacted by our team.