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# Full-Stack Engineer, AI Platform

- **Company:** Thumbtack, Inc.
- **Location:** San Jose, CA, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $177,700.0 - $229,900.0
- **Contract:** Permanent contract
- **Skills:** PHP (Programming Language), Relational Databases, Amazon DynamoDB, Python (Programming Language), PostgreSQL, Software Engineering, TypeScript, ReactJS, Build Management, Front End Software Development, Golang
- **Published:** September 20, 2026
- **Apply:** https://startup.jobs/full-stack-engineer-ai-platform-thumbtack-com-10132789

## About the Role

* 3+ years of professional software engineering experience.
 * Strong frontend skills with React and TypeScript, including complex application state and data-dense interfaces.
 * Solid backend engineering ability. We use Go, PHP, and Python, and we expect strong engineers to pick up a new language.
 * Working knowledge of relational and non-relational data stores (Postgres, DynamoDB, or similar).
 * Real product judgment: you can look at a workflow, decide what to build, and say what to cut.
 * Interest in the problems that come with non-deterministic systems - uncertainty, partial failure, and designing for human correction rather than assuming a correct answer every time.
 * Proven ability to navigate ambiguity, close your own knowledge gaps, and deliver in an evolving environment.

## Description

Agents can already take action inside Thumbtack's internal systems. The harder problem is making that trustworthy: giving business teams a way to configure what agents are allowed to do, review and correct their work, and see clearly what happened and why. Without that, automation stays stuck in pilots. This engineer owns the product surface that turns agent capability into something teams will actually rely on for business-critical work - and the services behind it., * Design and build the interfaces business teams use to configure agents, review their work, approve or correct actions, and understand what happened and why.

 * Build observability and evaluation tooling that makes agent behavior legible - where it succeeded, where it failed, and whether a change made things better.
 * Work across the stack, from React and TypeScript through service code and data models, owning features end to end through build, test, launch, and iteration.
 * Partner directly with the business teams who use what you build; translate ambiguous operational problems into working software.
 * Own the full lifecycle of your work, including monitoring and post-launch improvement.


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