Full Stack Engineer

What you will own:

• Experience Layer Engineering: Build and own AI platform interfaces, SDKs, developer tools, playgrounds, and reference applications.
• AI-Native User Experiences: Design modern AI interaction patterns including streaming responses, agent workflows, tool calls, citations, human review, and graceful failure handling.
• Backend Services & Orchestration: Develop APIs, retrieval pipelines, model orchestration, caching, rate limiting, observability, and integration services.
• Quality & Evaluation: Instrument applications with tracing, evaluation frameworks, feedback capture, and quality measurement to continuously improve user outcomes.
• Cross-Functional Delivery: Partner with Platform, ML, Product, and Infrastructure teams to establish best practices for AI product development.
• Engineering Excellence: Contribute reusable patterns, documentation, code reviews, and technical standards for AI application development across the organization.

Qualifications:

• 5 to 8 years building and shipping production-grade full stack applications.
• Strong front-end expertise with TypeScript and React.
• Backend experience with Node.js, Python, or Golang.
• Experience designing scalable APIs and cloud-native services.
• Strong product mindset with attention to user experience, latency, reliability, and error handling.
• Hands-on experience building with LLMs, including APIs, streaming, RAG, tool usage, agents, or conversational AI.
• Ability to thrive in ambiguous, fast-moving environments and deliver independently.
• Strong communication skills and a collaborative working style.