GenAI Software Engineer - LLM/RAG

GenAI Software Engineer (5+ Years) to build next-generation AI solutions, including intelligent chatbots, Retrieval-Augmented Generation (RAG) systems, and agentic workflows. Responsibilities : - Build production-ready GenAI applications using Python. - Design and optimize RAG pipelines and semantic search solutions. - Develop AI-powered APIs and backend services. - Work with vector databases and embeddings. - Integrate OpenAI and modern LLM frameworks into scalable applications. - Collaborate on high-impact AI products from design to deployment. Good to Have Skills : - Python. - Generative AI / LLMs. - RAG (Retrieval-Augmented Generation). - LangChain and LangGraph. - OpenAI APIs and API Designing. - Prompt Engineering. - Vector Databases (Pinecone, Chroma, FAISS, Weaviate). - REST APIs and Git. - Backend Development. - Chatbot Production and Agentic AI Workflows (Mandatory). - Cloud exposure (Azure/AWS/GCP is a plus). Qualification : - 5+ years of software engineering experience. - Hands-on experience delivering GenAI solutions in production. - Strong understanding of AI application architecture and best practices. - Passion for learning and building cutting-edge AI products. GenAI Software Engineer (5+ Years) to build next-generation AI solutions, including intelligent chatbots, Retrieval-Augmented Generation (RAG) systems, and agentic workflows. Responsibilities : - Build production-ready GenAI applications using Python. - Design and optimize RAG pipelines and semantic search solutions. - Develop AI-powered APIs and backend services. - Work with vector databases and embeddings. - Integrate OpenAI and modern LLM frameworks into scalable applications. - Collaborate on high-impact AI products from design to deployment. Good to Have Skills : - Python. - Generative AI / LLMs. - RAG (Retrieval-Augmented Generation). - LangChain and LangGraph. - OpenAI APIs and API Designing. - Prompt Engineering. - Vector Databases (Pinecone, Chroma, FAISS, Weaviate). - REST APIs and Git. - Backend Development. - Chatbot Production and Agentic AI Workflows (Mandatory). - Cloud exposure (Azure/AWS/GCP is a plus). Qualification : - 5+ years of software engineering experience. - Hands-on experience delivering GenAI solutions in production. - Strong understanding of AI application architecture and best practices. - Passion for learning and building cutting-edge AI products.