AI/ML SME - Generative AI | Vertex AI | LLM | RAG | GCP

Tata Consultancy Services; Chennai District; On-site; INR 2,800,000 - 4,800,000; Full time

Job summary

Tata Consultancy Services in Chennai is seeking a senior AI/ML engineer to design, develop, and deploy Generative AI, LLMs, and RAG-based solutions for enterprise-scale applications.

You will build agentic AI, integrate with GCP Vertex AI, optimize models, implement ML Ops, and collaborate across teams to deliver robust AI capabilities. Strong Python/SQL, Docker, Kubernetes, and REST API skills are essential.

Qualifications

• 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.
• Strong 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 PyTorch, 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.

Responsibilities

• 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

Skills

Generative AI / LLMs

RAG / Agentic AI

Python

SQL

Multi-Agent Systems

NLP / Transformer models

Tools

Vertex AI

GCP / Google Cloud

Kubeflow

Lang Chain

Lang Graph

Vector Databases

Docker

Kubernetes

CI/CD

REST APIs

Job description

• 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.
• Strong 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.