Harness Engineer - AI Retrieval & Agent Systems

openreqstaffing; New York (NY); On-site; USD 140,000 - 200,000; Full time

Job summary

Nomic is seeking a Harness Engineer to build the systems that power our AI agents. You will design retrieval, context assembly, and evaluation infrastructure to ensure agents operate reliably across massive document collections.

Join us to shape how information is found, assembled, and evaluated, improving agent performance and scalability in real-world environments as we expand in 2026.

Qualifications

• Strong software engineering skills in Python and/or TypeScript.
• Experience with retrieval systems, embeddings and vector search.
• Built production systems that handle messy real-world data.
• Familiarity with LLMs and agent frameworks in practice.

Responsibilities

• Design and implement retrieval systems for large document collections.
• Engineer context assembly and orchestration for agents.
• Build evaluation infrastructure to measure accuracy and regressions.
• Develop scalable agent pipelines across multi-customer datasets.

Skills

Python

TypeScript

Retrieval systems

Embeddings

Vector search

LLM frameworks

Systems thinking

Problem solving

Debugging at scale

Tools

Vector databases

Embeddings tooling

LLM frameworks

Job description

Nomic is seeking a Harness Engineer to build the systems that power our AI agents. You will design retrieval, context assembly, and evaluation infrastructure to ensure agents operate reliably across massive document collections.

Join us to shape how information is found, assembled, and evaluated, improving agent performance and scalability in real-world environments as we expand in 2026.