GenAI Engineer / Agentic AI Developer

Hiring: GenAI Engineer / Agentic AI Developer Location: Bangalore (Hybrid) Experience: 58 Years We are looking for a passionate GenAI Engineer / Agentic AI Developer to build and deploy next-generation AI applications using Large Language Models (LLMs), Agentic AI frameworks, and Retrieval-Augmented Generation (RAG). Key Responsibilities Develop AI applications using LLMs such as OpenAI GPT, Claude, Gemini, or open-source models (Llama, Mistral, etc.) Build Agentic AI workflows using LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, Semantic Kernel, or MCP Design and implement RAG-based solutions with vector databases such as Pinecone, FAISS, Weaviate, ChromaDB, or Azure AI Search Develop scalable backend APIs using Python/FastAPI and integrate AI solutions with enterprise applications Optimize LLM performance through prompt engineering, evaluation, and retrieval optimization Deploy and maintain AI solutions on AWS, Azure, or GCP Collaborate with cross-functional teams to deliver production-ready AI applications Required Skills Strong programming skills in Python Hands-on experience with LLMs and Prompt Engineering Experience with LangChain, LangGraph, CrewAI, LlamaIndex, AutoGen, Semantic Kernel, or MCP Strong knowledge of RAG, embeddings, vector databases, and semantic search Experience building REST APIs and backend services Cloud experience with AWS, Azure, or GCP Good understanding of AI evaluation, monitoring, and optimization Preferred Skills Experience with Llama, Mistral, Qwen , or other open-source LLMs Multi-agent orchestration and autonomous AI systems Docker, Kubernetes, CI/CD, and MLOps Conversational AI, AI Copilots, or enterprise AI applications Why Join? Work on cutting-edge Generative AI & Agentic AI projects Opportunity to build enterprise-scale AI solutions Collaborative and innovation-driven environment Exposure to global clients and advanced AI technologies If you're interested, please share your updated resume