Exp : 7- 15 Yrs

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 system

s.

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 outp

uts.

Work with open-source and proprietary models (OpenAI, Gemini, Llama, Claude, Mistral, Falcon, e

tc.).Proficiency with Python, LangChain / LlamaIndex, HuggingFace, PyTorch, Tensor

Flow.

Experience with RAG pipelines, embedding models, vector databa...