Role : Gen AI

Experience : 5+

Location : Pan India

Job Description :
- Build, fine-tune, and optimize Large Language Models (LLMs) for banking-specific use cases (credit risk, AML, KYC, audit, compliance, customer service, etc.).
- Develop RAG pipelines, vector databases, embeddings, and multimodal retrieval systems.
- Design and integrate agentic AI workflows, autonomous agents, and multi-agent orchestration for complex banking tasks (case investigation, decision reasoning, trade surveillance alerts, credit assessment, etc.).
- Implement prompt engineering, prompt-chaining, and guardrails for safe and compliant GenAI outputs.
- Work with open-source and proprietary models (OpenAI, Gemini, Llama, Claude, Mistral, Falcon, etc.).
- Proficiency with Python, LangChain / LlamaIndex,



HuggingFace, PyTorch, TensorFlow.
- Experience with RAG pipelines, embedding models, vector databases (FAISS, Pinecone, Milvus, Chroma, OpenSearch).
- Hands-on with agentic AI frameworks (LangGraph, Autogen, CrewAI, Haystack Agents, Swarm).
- Experience with Azure OpenAI / AWS Bedrock / GCP Vertex AI.
- Machine learning experience across supervised, unsupervised, time-series, and NLP.
- Solid knowledge of ML Ops & LLM Ops (Sagemaker, Vertex AI, Azure ML, MLflow, Kubeflow).
- Understanding of DevOps, CI/CD, Docker, Kubernetes, microservices

📌 Generative AI Specialist (Chennai)
🏢 Tata Consultancy Services
📍 Chennai