Gen AI Engineer

Key Responsibilities

• Lead a team of 3 GenAI Specialists in technology space.
• Design and develop LLM/RAG-based solutions for audit, risk, and compliance workflows
• Automate control validation, evidence analysis, and policy interpretation using GenAI
• Build document ingestion and retrieval pipelines using Elasticsearch and vector databases
• Leverage AWS Neptune to model regulatory relationships, controls, and dependencies
• Implement LLM-based summarization and report generation for audit and compliance outcomes
• Perform prompt engineering, evaluation, and tuning to ensure accuracy and traceability

• Develop APIs and services on AWS for integration with audit and compliance systems
• Support monitoring, validation, and continuous improvement of AI outputs

Required Skills

• Technical team leadership
• Hands-on experience with LLMs / GenAI (OpenAI, Anthropic, LLaMA, Mistral, or AWS Bedrock)
• Strong understanding of RAG architecture, embeddings, and document intelligence
• Proficiency in Python and GenAI frameworks (LangChain, LlamaIndex, or similar)
• Experience with Elasticsearch for document search and retrieval
• Experience with any vector database (FAISS, Vector, Pinecone, Milvus, etc.)
• Familiarity with AWS services (Lambda, API Gateway, S3, Bedrock, ECS/EKS)
• Ability to generate structured outputs and narrative reports using LLMs
• Experience with AWS Neptune and graph-based compliance modeling
• Exposure to Audit, Risk, or Compliance (GRC) domains