Generative AI Engineer

Generative AI Engineer Role Overview:You will be responsible for the hands-on development, coding, and deployment of AI-powered features. Your focus is on writing clean, efficient code to integrate LLMs into our existing tech stack, building robust data pipelines for RAG, and ensuring the reliability of model outputs through rigorous testing and optimization.Technical Skills (The "Execution" Stack)Language: Advanced Python (Asyncio, Pydantic) and optional TypeScript/Node.js (for full-stack integration).AI Frameworks: Hands-on experience with any of LangChain, LlamaIndex, and Hugging Face Transformers. RAG and Vector search concepts.Data Handling: Proficiency in SQL and handling unstructured data formats (PDFs, Markdown, JSON).Deployment: Practical experience with Docker, GitHub Actions (CI/CD), and experience with OpenTelemetry, LangSmith, Weights & Biases etc., Understanding of evaluation/guardrails.MCP/API Proficiency: Deep understanding of RESTful APIs, Streaming HTTP, MCP server vs client, JSONRPC