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Member of Technical Staff, Full Stack

True Talent Solutions Partners · San Francisco · Onsite

100100

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Actively hiring

Posted 3 days ago · still listed on the employer's own board · How we score

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  • Posted 3 days ago
  • Still listed on the employer's own board
  • Publishes a salary range

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Member of Technical Staff, Full Stack at True Talent Solutions Partners. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

About the Role

Join a small, technical team building infrastructure for evaluating and continually improving enterprise AI agents. This backend-leaning full-stack role combines ownership of core systems with shipping the product features that make them useful to customers.

What You'll Do

  • Build backend systems for agent evaluation and continuous improvement.
  • Improve data models for evaluation datasets, experiment runs, agent traces, knowledge versions, findings, and customer-defined quality criteria.
  • Own enterprise integrations across authentication, OAuth, webhooks, data synchronization, backfills, rate limits, schema changes, retries, monitoring, and production support.
  • Take features from design and implementation through deployment, monitoring, customer feedback, and iteration.
  • Work with customers to diagnose issues and turn their needs into reusable product capabilities.

What We're Looking For

  • Three to six years of experience as a backend-leaning full-stack software engineer, with substantial software engineering experience.
  • Experience at both a large company and an early-stage startup, with meaningful individual-contributor ownership.
  • Experience building production systems for enterprise customers, including data models, pipelines or queues, or integrations.
  • Comfort shipping user-facing features with TypeScript and React; Python experience is preferred.
  • Familiarity with relational databases, vector databases, and cloud environments.
  • A bachelor's degree in computer science or a related field.
  • Background in AI agents, LLMs, or evaluation and quality systems is helpful.

Compensation & Benefits

Base salary is $180,000 to $200,000 annually. Visa sponsorship is available.

Location

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

Skills

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