AI Systems Engineer - STEM Workflow

Turing; United States; Remote; USD 182,000 - 273,000; Full time

Job summary

Turing seeks a Senior AI Systems Engineer to design, build, and optimize multi-step agentic workflows that can reason through advanced mathematical and scientific tasks. You will bridge pure mathematics and technical execution, translating proofs into automated pipelines and structured specifications.

You will work with researchers to shape reusable frameworks, tooling, and memory systems for STEM-focused AI agents, while maintaining high accuracy, reliability, and traceable decision logic

Qualifications

• Proven track record of architecting and deploying production-grade, multi-step agentic systems.
• Background building AI/ML applications within STEM domains (Mathematics, Physics, CS, or Quantitative Finance).
• Core skills include advanced Python, LLm orchestration, structured output generation, tool integration, and state management.
• Experience solving problems with subject-matter experts to translate dense academic material into modular software.

Responsibilities

• Design, build, and optimize multi-step agentic workflows capable of multi-hop reasoning, hypothesis generation, and technical validation.
• Collaborate with mathematical researchers to translate complex 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 steps.

Skills

Python proficiency

LLM orchestration

Structured output generation

Tool integration

State management

Tools

LangGraph

AutoGen

CrewAI

Custom orchestration

Job description

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