Work from Office
Full Time
Overview Generative AI Engineer \u2013 BFSI Domain Responsibilities Design and fine-tune LLMs (Large Language Models) for BFSI use-cases: intelligent document processing, report generation, chatbots, advisory tools. Evaluate and apply prompt engineering, retrieval-augmented generation (RAG), and fine-tuning methods. Implement safeguards, red-teaming, and audit mechanisms for LLM usage in BFSI. Work with data privacy, legal, and compliance teams to align GenAI outputs with industry regulations. Collaborate with enterprise architects to integrate GenAI into existing digital platforms. Qualifications 3\u20135 years in AI/ML; 1\u20133 years hands-on in GenAI/LLM-based solutions. BFSI-specific experience in document processing, regulatory reporting, or virtual agents using GenAI is highly preferred. Exposure to prompt safety, model alignment, and RAG pipelines is critical. Essential skills Tech Stack LLMs: GPT (OpenAI), Claude, LLaMA, Mistral, Falcon Tools: LangChain, LlamaIndex, Pinecone, Weaviate Frameworks: Transformers (Hugging Face), PEFT, DeepSpeed APIs: OpenAI, Cohere, Anthropic, Azure OpenAI Cloud: GCP GenAI Studio, GCP Vertex AI Others: Prompt engineering, RAG, vector databases, role-based guardrails Experience 3\u20135 years in AI/ML; 1\u20133 years hands-on in GenAI/LLM-based solutions.
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IT Services and IT Consulting
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