- Design, develop, and deploy Generative AI, LLM, and RAG-based solutions.

- Build Agentic AI and multi-agent systems using Lang Chain/Lang Graph.

- Develop scalable AI/ML applications on GCP Vertex AI.

- Implement ML Ops pipelines, model deployment, monitoring, and automation.

- Build REST APIs and integrate AI solutions with enterprise applications.

- Optimize model performance, prompt engineering, and retrieval accuracy.

- Troubleshoot production AI/ML issues and perform RCA.

- Collaborate with cross-functional teams to deliver enterprise AI solutions

Preferred candidate profile

- 6+ years of experience in AI/ML, Data Science, or Machine Learning Engineering.

- Hands-on experience in Generative AI, LLMs, RAG, Agentic AI, and Multi-Agent Systems.

- Solid programming skills in Python and SQL.

- Experience with Vertex AI,



Google Cloud Platform (GCP), ML Ops, ML flow, Kubeflow, and model deployment.

- Expertise in Lang Chain, Lang Graph, Vector Databases, Prompt Engineering, and Conversational AI solutions.

- Experience with Py Torch, TensorFlow, Deep Learning, NLP, and Transformer Models.

- Strong knowledge of Docker, Kubernetes, CI/CD, REST APIs, and cloud-native architectures.

- Experience building enterprise chatbots, AI assistants, document intelligence, semantic search, or RAG-based applications.

- Ability to troubleshoot production AI systems, perform RCA, and optimize model performance.

📌 AI/ML SME - Generative AI | Vertex AI | LLM | RAG | GCP (Chennai)
🏢 Tata Consultancy Services
📍 Chennai