Description

You design and implement enterprise-scale AI solutions using Generative AI, RAG, and Agentic AI.

This role is on-site.

Responsibilities

• Architect and build intelligent AI applications using LLMs and modern frameworks.
• Implement RAG pipelines and agentic workflows for scalable, secure enterprise use.
• Develop Python-based APIs and integrate vector databases for retrieval systems.
• Collaborate with cross-functional teams to deliver and deploy AI solutions.
• Establish AI governance, security standards, and model evaluation practices.

Required Skills

• 10+ years of IT experience with strong AI/ML architecture expertise.
• Hands-on experience with Generative AI, RAG, and Agentic AI solutions.
• Strong knowledge of LLMs (OpenAI, Claude, Gemini, Llama, etc.).
• Experience with AI frameworks such as LangChain, LlamaIndex, CrewAI, AutoGen, or LangGraph.
• Proficiency in Python and API development.
• Experience with vector databases (Pinecone, FAISS, ChromaDB, Weaviate, Milvus, etc.).
• Familiarity with cloud platforms (AWS, Azure, or GCP) and AI services.

Preferred Skills

• Experience in enterprise AI transformation projects.
• Knowledge of MLOps and AI deployment best practices.

Key Skills

Education

Any Graduate