Retool
Software Engineer, AI Product Engineer
San Francisco, USA
Sponsorship not specifiedDetected 530 days ago
JavaScriptTypeScriptReactNode.jsFull-Stack DevelopmentPostgreSQLVector DatabasesMachine LearningLLMsRAGMLOpsMentoring
About the role
- Now, with AI-native capabilities, we're going a step further: transforming how humans interact with software entirely.
- We're hiring AI Product Engineers to help us push the boundaries of what's possible with LLMs in the hands of developers.
- You should be comfortable navigating the full stack, even if you lean more frontend or backend.
Responsibilities
- As an AI Product Engineer, you'll work across product and infrastructure layers to ship developer-facing AI features that feel like magic-intelligent, fast, and deeply embedded into the act of building software.
- You might: Build generative UIs that let users create real apps from natural language Improve the performance, observability, and safety of our internal model architecture Extend our AI evaluation systems to support smarter ranking, feedback loops, and product metrics Develop patterns for retrieval-augmented generation (RAG), few-shot prompting, and agentic architecture.
- Contribute to building internal tools that help us accelerate iteration on AI features and workflows You'll work in a TypeScript + Node.js + React stack, but we value strong engineering fundamentals over specific frameworks.
- You'll also collaborate with our core product and infra teams as we deepen AI's role across the platform.
- This is a unique opportunity to work at the intersection of AI, developer experience, and product design-with real users, real use cases, and real impact.
- If you're passionate about building productized AI experiences-fast, reliable, and deeply usable-we want to talk.
- If you're excited to shape how developers build with AI-from prompts to production-we'd love to meet you.
Company info
- We value ownership, speed, and a tight feedback loop with our customers (many of whom are developers themselves).
This listing is sourced directly from Retool's careers page and normalized into a canonical job model.