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About the role
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. .
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