Requirements
- 3+ years of software engineering experience with a proven track record of shipping full-stack features in production
- 1+ years working on AI-powered product features
- Strong proficiency in React and TypeScript
- Solid Python and Node.js and Typescript skills
- Hands-on experience building with LLM APIs (OpenAI, Anthropic, etc.)
- Practical understanding of prompt engineering, context management, RAG, Quality/Evals(Braintrust or others) and structured outputs
- Experience implementing streaming response patterns (SSE, WebSockets, chunked HTTP)
- Strong intuition for user experience
- Track record of working closely with AI/ML engineers, product managers, and designers
Nice to Have
- Experience in compliance, security, GRC, or other document-heavy enterprise domains
- Experience with MCP (Model Context Protocol) or similar tool-use interfaces for AI agents
- Exposure to RAG system design
- Experience building feedback and annotation tooling that captures user signal on AI output quality