Senior AI Full Stack Developer (Generative AI / LLM Engineer)

Requirements: Languages: Python, JavaScript/TypeScript Frontend: React.js, Next.js Backend: FastAPI/Express Generative AI: Prompt Engineering, Function Calling, Structured Outputs, Streaming RAG: LangChain/LlamaIndex, Embeddings, Vector Databases (Pinecone, Weaviate, pgvector, ChromaDB). Databases: PostgreSQL, Redis Cloud: AWS, Azure, or GCP DevOps: Docker, Git, CI/CD Responsibilities: Design and develop AI-powered applications using LLMs. Build Retrieval-Augmented Generation (RAG) pipelines with vector databases. Integrate OpenAI, Claude, Gemini, or similar LLM APIs. Develop scalable backend services using Python or Node.js. Build responsive web applications using React.js or Next.js. Design REST/GraphQL APIs and database schemas. Implement multimodal AI capabilities (text + image). Deploy applications on AWS, Azure, or GCP. Optimize AI performance, latency, scalability, and cost. Requirements: Languages: Python, JavaScript/TypeScript Frontend: React.js, Next.js Backend: FastAPI/Express Generative AI: Prompt Engineering, Function Calling, Structured Outputs, Streaming RAG: LangChain/LlamaIndex, Embeddings, Vector Databases (Pinecone, Weaviate, pgvector, ChromaDB). Databases: PostgreSQL, Redis Cloud: AWS, Azure, or GCP DevOps: Docker, Git, CI/CD Responsibilities: Design and develop AI-powered applications using LLMs. Build Retrieval-Augmented Generation (RAG) pipelines with vector databases. Integrate OpenAI, Claude, Gemini, or similar LLM APIs. Develop scalable backend services using Python or Node.js. Build responsive web applications using React.js or Next.js. Design REST/GraphQL APIs and database schemas. Implement multimodal AI capabilities (text + image). Deploy applications on AWS, Azure, or GCP. Optimize AI performance, latency, scalability, and cost.