AI Staff Software Engineer, LegalZoom

• 5+ years of software engineering experience with at least 2 years building production AI systems
• Strong Python backend skills — You write clean, maintainable code. You are familiar with frameworks and tools like FastAPI, Pydantic, uv, Postgres, REST APIs, and cloud infrastructure (AWS preferred)
• Basic frontend literacy — You can build or modify a React UI for internal tools. Not a frontend specialist, but light frontend work doesn't block you. Bonus if you're comfortable in TypeScript and Vercel AI-SDK
• AI-first engineering mindset — You use AI coding tools (Cursor, Claude Code, Codex, etc.) in your day-to-day work. You believe in leveraging AI to build AI systems
• Agentic AI experience — You've built multi-step agentic workflows with frameworks like PydanticAI, LangGraph, or AI-SDK. You're familiar with MCP (Model Context Protocol) and tool-use patterns. Bonus if you've built your own MCP server with something like FastMCP
• Don't check every box? If you're a fast learner with strong engineering fundamentals and genuine excitement about building AI products, we'd still love to hear from you

Desirable

• We're looking for a Staff AI Engineer (Full Stack) who ships production AI systems
• You'll build and own AI services that power LegalZoom's products and internal tools—working across the stack from design through deployment
• We integrate best-in-class AI foundation models from OpenAI, Anthropic, and Google into real products. We prioritize shipping working solutions over research, perfect architectures, or bleeding-edge experiments
• Own AI systems end-to-end — Design, build, and operate production AI agents, RAG pipelines, MCP services, and agentic workflows—including observability, error handling, and other table stakes for production systems
• Build on our AI platform — Extend our unified FastAPI + PydanticAI monorepo, leveraging foundation model APIs (AWS Bedrock, OpenAI, Gemini) and contributing patterns other teams can adopt
• Collaborate across teams — Partner with Product, Engineering, Design, and Operations to identify high-value AI opportunities and embed intelligent capabilities into existing systems
• Contribute across the stack — Write backend services, wire up basic React frontends when needed, and own your deployments
• Other duties as assigned
• Occasional travel may be required as needed
• How you work:
• Pragmatic shipping mentality — You've taken projects from idea to production with real users. You right-size solutions and prefer simplicity
• Clear communication — You can explain technical tradeoffs to non-technical stakeholders and write documentation
• Remote employees should confirm that the internet service available has adequate bandwidth to support all work processes