Generative AI Engineer - ETL/Metadata

Overview

• 4-7 years of software engineering experience GenAi services focused, including 2+ years building or integrating GenAI/ML solutions
• Bachelor's degree in Engineering/Computer Science (or equivalent)
• Practical understanding of IT + business concepts and how AI features translate to measurable outcomes
  
  

• Design and develop AI- powered backend systems and services that leverage Bedrock (model selection, orchestration), RAG pipelines (indexing, retrieval, evaluation), and S3 content sources
• Build secure APIs that integrate AI features into internal apps; partner with UI teams on full- stack delivery
• Implement prompt engineering, evaluation harnesses, safety filters, and HITL review workflows; measure quality (precision, hallucination rate, latency, cost)
• Create ETL/ingestion jobs and embeddings pipelines; optimize chunking, metadata, and retrieval performance
• Productionize with CI/CD, IaC, logging/monitoring, and cost/latency optimization; contribute to runbooks and SLOs
• Collaborate with product owners, domain SMEs, data engineering, security, and compliance to align on value, controls, and go- live readiness
• Champion reusability by packaging patterns (RAG, agents, evaluation) as internal accelerators and documenting best practices
  
  

(ref:hirist.tech)