Harness Engineer

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🕒 June 2

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Nomic AI

WebsiteLinkedInAll Job Openings

11 - 50 employees

🤖 Artificial Intelligence

🤝 B2B

☁️ SaaS

Artificial Intelligence • B2B • SaaS

Nomic AI is a company focused on creating explainable and accessible artificial intelligence solutions. They emphasize the concept of pragmatics and aim to transform AI technology into a more understandable and usable format for diverse applications. Their work includes research and development in advanced AI models, such as those inspired by GPT technology.

📋 Description

• Work on retrieval systems — search, ranking, chunking strategies, hybrid approaches, knowing which tool fits which problem • Context engineering — assembling the right information for agents operating over large, heterogeneous document sets • Evaluation and harnesses — building the infrastructure to continuously measure agent accuracy, regression-test retrieval quality, and close feedback loops • Agent pipelines — the orchestration layer between retrieval, models, and downstream actions • Scale — making all of the above work across thousands of customer document collections, not just a demo corpus

🎯 Requirements

• Strong software engineering skills in Python and/or TypeScript • Real experience with retrieval systems — embeddings, vector search, traditional IR, or some combination • You've built systems that had to work on messy, real-world data — not just clean benchmarks • Familiarity with LLMs and agent frameworks in practice, not just in theory • You think in systems — how components interact, where things break, what doesn't scale • Intellectual curiosity about the retrieval and agent tooling landscape as it exists right now • Experience with evaluation infrastructure — evals, benchmarks, regression testing for AI systems • Background in search, NLP, or information retrieval • Exposure to the AEC industry or other document-heavy domains

🏖️ Benefits

• Health insurance • Flexible work arrangements