Senior Applied AI Engineer

Sourced from feeny.ai

Noon is building a next-generation AI design tool for product teams and is hiring a Senior Applied AI Engineer to ship the AI features designers use daily. You'll own AI capabilities end-to-end, from prompt design and agent orchestration to retrieval pipelines and the production TypeScript/React code that ships to users. This is a hands-on role at the seam between AI capability and product UX, requiring strong prompt, context, and RAG fundamentals.

• Build user-facing AI features end-to-end: prompt design, agent flows, tool use, RAG pipelines, and production code
• Own complex capabilities from spec to shipped, including prompt/agent design, retrieval, React code transformations, UI, and evals
• Ship directly into a large TypeScript monorepo with code running in production
• Design product-facing evaluation: A/B tests, user-driven metrics, LLM-as-judge harnesses, and behavioral regression suites
• Own prompt-engineering, context-engineering, and retrieval layers for every AI feature
• Translate user intent into AI capability in close collaboration with designers and product

• 8+ years software engineering experience with demonstrable production AI feature work
• Production TypeScript experience in large, complex codebases and JS/TS monorepos
• Strong prompt engineering, context engineering, and RAG fundamentals
• Experience designing agent flows with multi-step tool calling
• Hands-on experience with LLM APIs and orchestration frameworks (LangChain, LangGraph, DSPy, Vercel AI SDK, or equivalents)
• Ability to design and ship product-facing eval pipelines
• Strong product instincts and comfort with UX tradeoffs

• Ability to read and reason about React code (components, hooks, state, JSX)
• Background in code-generation AI (Copilot-style completion, agentic code editing, AST-aware transformations, code-specific RAG)
• Experience with streaming AI UX (token streaming, partial renders, cancellation)
• Familiarity with WebSocket-based real-time systems
• Background shipping AI inside collaborative or canvas-based products