Turning enterprise operational knowledge into living specifications for agentic AI.

ML/AI Engineer, Applied AI

San FranciscoOn-site$180K - $275K4 - 10 years
Enterprise knowledge is a graveyard of stale documents and tribal lore, trapping critical operational logic beyond the reach of modern automation. This role bridges that gap, building the applied AI systems that translate messy human processes into dynamic, agent-readable specifications. You will architect the models and infrastructure that allow autonomous agents to actually understand and execute complex enterprise workflows. It is hands-on, foundational engineering at an early-stage startup where your decisions dictate how intelligent systems interact with the physical and digital world.

What they're looking for

  • 4-10 years of software or ML engineering experience, with deep fluency in Python and Go.
  • Proven track record building production systems with LLM providers like OpenAI and deploying them via Docker, Terraform, and GCP.
  • Comfortable navigating full-stack challenges across PostgreSQL, Redis, React, and TypeScript as needed.
  • Strong bias toward shipping working systems over conducting endless research in a local notebook.

Tech stack

PythonGoPostgreSQLRedisReactTypeScriptGCPTerraform

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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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