A 50-person, growth-stage startup building AI systems that amplify how engineering teams ship software.

Senior/Staff AI Engineer

San FranciscoHybrid$210K - $250K5+ years
You'll spend your days making our AI reasoning layer sharper: building and iterating on retrieval pipelines, designing evaluation frameworks for code-generation tasks, and shipping full-stack features that let customers steer model behavior in real time. We work at the intersection of systems engineering and applied ML—expect to touch model serving infrastructure, customer-facing APIs, and the data flywheels that make both better. This is a team where "production" means models that write and review code inside Fortune 500 deployments, not toy demos.

What they're looking for

  • 5+ years shipping production ML systems, with deep fluency in Python and the scientific stack (NumPy, Pandas)
  • Hands-on experience deploying models via REST API and GraphQL, with solid intuition for latency and reliability tradeoffs
  • Track record of building or scaling ML infrastructure using Docker, Kubernetes, and experiment-tracking tools like MLflow
  • Comfort owning full-stack features from model logic through to customer-facing interfaces
  • Prior work in developer tools, code intelligence, or enterprise B2B strongly preferred

Tech stack

PythonNumPyPandasREST APIGraphQLMLflowDockerKubernetes

Apply for this role

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.