Generative AI Engineer

Experience: 6–10 Years\n\nEmployment Type : Contrac t\n\nKey Responsibilities\n\nDesign, develop, and deploy Generative AI applications using Large Language Models (LLMs)\nBuild and optimize RAG (Retrieval-Augmented Generation) solutions and AI agents\nIntegrate LLMs such as OpenAI GPT, Claude, Gemini, or Llama into enterprise applications\nDevelop scalable AI solutions using Python, LangChain, LlamaIndex, and vector databases\nCollaborate with business and technical teams to translate requirements into AI-driven solutions\nEnsure performance, security, and reliability of GenAI applications.\n\nRequired Skills\nStrong experience with Python and AI/ML development\nHands-on experience with Generative AI, LLMs, RAG, and prompt engineering\nExperience with LangChain, LlamaIndex, CrewAI, AutoGen, or similar framework\nKnowledge of vector databases such as Pinecone, Weaviate, Chroma, or FAISS\nExperience with cloud platforms such as Azure OpenAI, AWS Bedrock, or Google VertexAI\nExcellent problem-solving and communication skills\n\nPreferred\n\nExperience building AI agents and multi-agent systems\n.Exposure to MLOps, model deployment, and AI governance frameworks