Full-Stack Engineer, Agent Evaluation & Reliability
True Talent Solutions Partners · San Francisco · Onsite
Strong hiring record · median 1 days open
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In its favour
- Posted today
- Still listed on the employer's own board
- Publishes a salary range
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.
Skills
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