Generative AI Engineer - ETL/Metadata

4-7 Years

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Early Applicant

Job Description

Job Description

What you must bring (Experience) :

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

Responsibilities

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)