Software Engineer, AI Product Engineer

ABOUT RETOOL

Nearly every company in the world runs on custom software for critical operations like tracking performance metrics, handling customer support workflows, building admin dashboards, and countless other processes. At Retool, we’re building the first enterprise AppGen platform: software that transforms natural language into production-ready code, integrates directly with business data, and meets the highest standards of security and governance. AI is redefining what it means to build software, expanding the definition of “developer” to include analysts, operators, and domain experts.

Over 100 million hours of work has been automated by developers and domain experts using our platform, freeing them to focus on creative problem-solving and strategic initiatives that drive real business value. We aim to enable this larger community to build production-grade software safely, with AI that understands real business data, enforces enterprise policies automatically, and empowers teams to create once and reuse everywhere with shared, trusted components.

WHY WE'RE LOOKING FOR YOU

Retool started by addressing obstacles with internal tools and has grown into a company that solves internal tooling for thousands of companies. 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. If you’re passionate about building productized AI experiences—fast, reliable, and deeply usable—we want to talk.

WHAT YOU'LL DO

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 should be comfortable navigating the full stack, even if you lean more frontend or backend.

THE SKILLSET YOU'LL BRING

• 3+ years of professional software engineering experience
• A track record of building and shipping real product—not just models or papers
• Experience working with LLMs and modern techniques (RAG, CoT, few-shot, embeddings, etc.)
• An eye for product: you care how features work and how they feel
• Familiarity with vector databases, prompt orchestration tools, and evaluation techniques
• A pragmatic mindset about what’s scalable and maintainable in production
• Strong opinions, weakly held—you move quickly but bring others along
• Bonus: experience building AI features for developer tools or productivity software

NICE TO HAVE

• Experience in JavaScript / TypeScript
• Experience with PostgreSQL
• Exposure to MLOps techniques (e.g., fine-tuning pipelines, model hosting)
• Experience mentoring other engineers or working closely with design

WHO YOU'LL WORK WITH

You’ll join a small, fast-moving AI team inside Retool, working alongside engineers, designers, and PMs who’ve built everything from visual programming systems to compiler infrastructure. You’ll also collaborate with our core product and infra teams as we deepen AI’s role across the platform. We value ownership, speed, and a tight feedback loop with our customers (many of whom are developers themselves). 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.

READY TO BUILD THE FUTURE OF SOFTWARE?

If you’re excited to shape how developers build with AI—from prompts to production—we’d love to meet you.