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.
Robust 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