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Full-Stack Engineer, Agent Evaluation & Reliability

  • San Francisco, CA, United States

$120,000 to $180,000 USD / year

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Job details

Pay
$120,000 to $180,000 USD / year
Posting language
English
Posted

Original job description

ABOUT THE ROLE

Join an AI/ML engineering team building infrastructure for agent evaluation and continuous improvement. This backend-leaning full-stack role combines foundational systems work with end-to-end product delivery, helping make agent workflows more reliable for enterprise customers.

WHAT YOU'LL DO

  • Build backend systems that power agent evaluation and continuous-improvement workflows.
  • Design data models for evaluation datasets, experiment runs, agent traces, knowledge versions, findings, and customer-defined quality criteria.
  • Build and maintain enterprise integrations, including authentication, OAuth, webhooks, incremental syncs, backfills, rate-limit handling, retries, and monitoring.
  • Own features from technical design and implementation through deployment, monitoring, customer feedback, and iteration.
  • Work with customers to understand their systems, diagnose failures, and turn specific needs into reusable product capabilities.
  • Take features through the full stack while contributing to architecture and product decisions.

WHAT WE'RE LOOKING FOR

  • Two to four years of experience in a full-stack or backend engineering role, building and shipping production systems.
  • Production experience with TypeScript and Node.js or Bun.
  • Hands-on machine learning model development experience, in addition to software engineering experience.
  • Experience at a fast-paced startup, from early stage through Series D.
  • Production experience designing PostgreSQL schemas and working with queues or worker systems.
  • A track record of owning projects end to end and building backend systems involving data modeling, integrations, observability, or distributed workflow debugging.
  • Understanding of how evaluating nondeterministic agent systems differs from conventional unit testing.
  • Experience with agent infrastructure, LLM evaluation, tracing, or agent memory systems in production or through substantial side projects is useful.

COMPENSATION & BENEFITS

Base salary is $120,000 to $180,000 annually. Visa sponsorship is available, including H-1B transfers, OPT, and O-1.

LOCATION

On-site in San Francisco, California, United States.

More about this job

Skills

  • ML
  • Team building
  • Process improvement
  • Data models
  • TypeScript
  • Node.js
  • Machine learning
  • PostgreSQL
  • Data modelling
  • Workflow
  • Debugging
  • Unit testing

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