- Professional
- Optionales Büro in Mumbai
Overview
Generative AI Engineer – 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
- 3–5 years in AI/ML; 1–3 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
- 3–5 years in AI/ML; 1–3 years hands-on in GenAI/LLM-based solutions.