Generative AI Engineer - LLM Models - BFSI Domain

Job Title: Generative AI Engineer BFSI Domain

Location: Mumbai, India

Experience: 35 years in AI/ML, with 13 years hands-on in Generative AI / LLM-based solutions

About the Role:

Were looking for a skilled Generative AI Engineer with a solid foundation in AI/ML and a strong track record of developing and deploying LLM-based solutions in the Banking, Financial Services, and Insurance (BFSI) domain. In this role, you'll design, fine-tune, and integrate cutting-edge LLMs into real-world financial applicationsranging from intelligent document processing to regulatory reporting, chatbots, and advisory tools.

Key Responsibilities:

- Design, fine-tune, and implement LLMs tailored to BFSI-specific use cases such as document summarization, report generation, and intelligent virtual assistants.

- Evaluate and apply advanced techniques including prompt engineering, retrieval-augmented generation (RAG), and model fine-tuning.

- Build and integrate red-teaming protocols, audit mechanisms, and safeguard features to ensure responsible and secure model deployment in BFSI environments.

- Collaborate with legal, compliance, and data privacy teams to ensure GenAI outputs adhere to regulatory standards.

- Work closely with enterprise architects and product teams to embed GenAI into existing digital platforms and workflows.

- Conduct prompt optimization, model alignment, and safety testing to ensure LLMs deliver accurate, explainable, and compliant results.

Preferred Experience:

- Demonstrated BFSI experienceideally in areas like document processing, compliance reporting, or virtual agents powered by GenAI.

- Hands-on expertise with RAG pipelines, model alignment, and prompt safety.

- A strong grasp of the regulatory nuances within financial AI applications.

Technical Environment :

LLMs: GPT (OpenAI), Claude, LLaMA, Mistral, Falcon

Tools & Libraries: 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, vector databases, RAG architecture, role-based guardrails

What Were Looking For:

- 35 years of experience in AI/ML, with at least 13 years hands-on in building or deploying LLM or GenAI-based solutions.

- Strong problem-solving mindset with the ability to translate abstract business requirements into scalable, safe, and compliant AI solutions.

- Comfortable working in a cross-functional team and dynamic regulatory landscape.