Member of Technical Staff, Full Stack
True Talent Solutions Partners · San Francisco · Onsite
Hiring signal
Actively hiring
Posted 3 days ago · still listed on the employer's own board · How we score
All reasons
In its favour
- Posted 3 days ago
- Still listed on the employer's own board
- Publishes a salary range
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
- OAuth 2.0
- Webhooks
- TypeScript
- React
- Python
- Vector Databases
- LLM
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