Full-Stack Engineer, Agent Evaluation & Reliability
True · San Francisco
- Location
- San Francisco
- Salary
- $120,000 to $180,000
- Experience
- 2+ years
- Posted
- Nov 3, 2026
True is hiring a Full-Stack Engineer, Agent Evaluation & Reliability based in San Francisco. Every apply link on Engg.space goes straight to the company's own careers page - no recruiter middleman, no generic job-board form.
Apply directly at TrueRole details
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.
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