Member of Technical Staff, Full Stack

true-talent-solutions-partners; San Francisco (CA); On-site; USD 180,000 - 200,000; Full time

Job summary

true-talent-solutions-partners is seeking a backend-leaning full-stack software engineer to join a small, highly technical team building infrastructure that helps enterprise AI agents improve through production feedback. You will own backend systems and data models for evaluation and continuous improvement, and drive enterprise integrations.

The role emphasizes ownership from design to deployment, monitoring, and iteration, with collaboration with customers to translate needs into reusable

Qualifications

• 3–6 years of backend-leaning full-stack experience.
• Production experience building systems for enterprise customers with data pipelines or enterprise integrations.
• Comfort shipping user interfaces with TypeScript and React; Python experience is preferred.
• Experience with relational and vector databases and cloud environments.
• Bachelor's degree in computer science or a related field.
• Experience at both a large company and an early-stage startup with ownership.

Responsibilities

• 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, incremental syncs, backfills, rate limits, retries, monitoring, and production support.
• Take 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.

Skills

Backend development

Data modeling

Enterprise integrations

TypeScript

React

Python

Relational databases

Vector databases

Cloud environments

Education

Bachelor's degree in Computer Science or related field

Tools

Relational databases

Vector databases

Cloud environments

Job description

ABOUT THE ROLE

Join a small, highly technical team building infrastructure that helps enterprise AI agents improve through production feedback. This backend-leaning full-stack role offers ownership of core systems and product features that make agent evaluation and continuous improvement 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, incremental syncs, backfills, rate limits, retries, monitoring, and production support.
• Take 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.

WHAT WE'RE LOOKING FOR

• Three to six years of experience as a backend-leaning full-stack software engineer, with most experience focused on backend development.
• Production experience building systems for enterprise customers, including ownership of data models, pipelines or queues, or enterprise integrations.
• Comfort shipping user interfaces with TypeScript and React; Python experience is preferred.
• Experience with relational and vector databases and cloud environments.
• A bachelor's degree in computer science or a related field.
• Experience at both a large company and an early-stage startup with fewer than 50 people, including meaningful ownership at the startup.
• Background in AI agents, LLMs, or evaluation and QA is helpful; founder experience or hackathon participation is also valued.
• Must have US work authorization, such as citizenship, permanent residency, or OPT with multiple years remaining. Immediate visa transfer or sponsorship is not available.

COMPENSATION & BENEFITS

Annual salary: $180,000 to $200,000.

LOCATION

On-site in San Francisco, California.