Looking for an AI Engineer who can work hands-on with LLMs and AI coding tools to generate services, tests, and workflows. This role is about building with AI, not just integrating APIs. What You’ll Do Build AI-assisted pipelines for: Code generation Test generation Context extraction Work with large codebases to create AI-readable context Generate backend services and APIs using AI tools Support parity validation and test automation Contribute to feedback loop (improve outputs via iteration) Must-Have Experience Hands-on with LLMs in real projects (not just POCs) Built something using: LangChain / LlamaIndex / custom pipelines (or equivalent) Experience working with: APIs backend systems structured data AI Tools (Strong Expectation) You should actively use: Claude / ChatGPT / Gemini Cursor / Copilot / AI coding tools Prompt engineering in real workflows Debugging and refining AI outputs Bonus (Very Relevant) RAG (Retrieval-Augmented Generation) Codebase indexing / embeddings Automated test generation Experience with logs / telemetry for feedback loops Tech Stack Python (preferred) Node.js / Java (good to have) Vector DBs (Pinecone, Weaviate, etc.) APIs, JSON, data pipelines What Stands Out (Real Signals) You’ve built something end-to-end using AI tools You rely on AI daily to write or improve code You’ve worked on real systems, not just notebooks