Job highlights

- 10-15 years experience in Generative AI, LLMs, RAG, Agentic AI, Prompt Engineering, and MLOps
- Develop and deploy GenAI and LLM solutions, build RAG pipelines, design Agentic AI workflows, lead AI architecture, implement scalable MLOps

Senior AI/ML Engineer - Generative AI & Agentic AI

Location: Hyderabad

Experience: 10-15 Years

Notice Period: Immediate to 30 Days Preferred

Role Overview

We are looking for a highly experienced Senior AI/ML Engineer with expertise in Generative AI, LLMs, RAG, Agentic AI, Conversational AI, and MLOps to design and deploy enterprise-scale AI solutions.

Primary Skills (Must Have)

- Generative AI & Large Language Models (GPT, Claude, Llama)
- Prompt Engineering
- RAG (Retrieval-Augmented Generation)
- LangChain / LlamaIndex
- Agentic AI (CrewAI, AutoGen, LangGraph)
- Python Programming
- Machine Learning & Deep Learning




- NLP / Conversational AI
- MLOps, Docker, Kubernetes

Secondary Skills (Positive to Have)

- AIOps & Predictive Analytics
- Anomaly Detection
- Azure OpenAI / AWS / GCP AI Services
- Vector Databases (Pinecone, FAISS, ChromaDB)
- AI Governance & Responsible AI
- Graph RAG & Knowledge Graphs

Key Responsibilities

- Develop and deploy GenAI and LLM-based solutions.
- Build RAG pipelines and intelligent conversational systems.
- Design Agentic AI and multi-agent workflows.
- Lead AI solution architecture and enterprise AI initiatives.
- Implement scalable MLOps and AI deployment frameworks.
- Drive innovation using emerging AI technologies.

📌 Senior AI/ML Engineer - Generative AI & Agentic AI_EXP: 10+ (Hyderabad)
🏢 Tata Consultancy Services
📍 Hyderabad