Senior AI Systems Engineer — Multi-Step Agent Architect

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 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