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Applied AI Engineer

San FranciscoOn-site$230K - $290K2 - 5 years
You will architect retrieval-augmented generation pipelines in Python and TypeScript to match complex job requisitions with niche talent profiles. Your daily work involves tuning vector search strategies and refining LangChain agents to reduce latency in high-stakes hiring decisions. This role demands deep ownership of the machine learning stack within a dense, on-site team building the next generation of recruitment infrastructure.

What they're looking for

  • 2 to 5 years of production experience building LLM applications with LangChain or similar frameworks.
  • Proficiency in Python and TypeScript with a strong grasp of asynchronous data processing.
  • Hands-on expertise designing and optimizing schemas for modern vector databases.
  • Proven ability to deploy machine learning models in on-site, collaborative environments.

Tech stack

LangchainPythonTypeScriptVector Database

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This role is one we're recruiting for on behalf of a client company; the client's identity is kept confidential at this stage. A Fluency recruiter will follow up with details.

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