AI Systems Engineer - Multi-Step Agent Architect (Remote)

Turing; United States; Remote; USD 34,000 - 49,000; Full time

Benefits offered by this job

Remote work

Work on cutting-edge AI projects

Job summary

Turing is seeking a Senior AI Systems Engineer to design and deploy AI agents capable of reasoning through advanced mathematical workflows. You will bridge mathematics with engineering, building multi-step, verifiable agentic systems for rigorous problem solving.

You will collaborate with researchers to convert complex proofs into automated pipelines, while developing memory systems and tooling that support STEM-driven AI applications across a fully remote engagement.

Qualifications

• Proven track record of architecting multi-step agentic systems.
• Experience with LLM orchestration and tool integration.
• Mathematics/CS STEM domain experience preferred.

Responsibilities

• Design, build, and optimize multi-step agentic workflows capable of multi-hop reasoning, hypothesis generation, and technical validation.
• Collaborate with researchers to translate abstract proofs into technical specs and automated pipelines.
• Develop reusable architectural frameworks, tooling, and memory systems for STEM-focused AI agents.
• Evaluate and iterate on agent performance ensuring accuracy, reliability, and traceability.

Skills

Python

LLM orchestration

Structured output

Tool integration

State management

Tools

LangGraph

AutoGen

CrewAI

Custom orchestration

Job description

Turing is seeking a Senior AI Systems Engineer to design and deploy AI agents capable of reasoning through advanced mathematical workflows. You will bridge mathematics with engineering, building multi-step, verifiable agentic systems for rigorous problem solving.

You will collaborate with researchers to convert complex proofs into automated pipelines, while developing memory systems and tooling that support STEM-driven AI applications across a fully remote engagement.