Generative AI Engineer
Core
Build production Generative AI systems (RAG, agentic workflows, chatbots) for enterprise clients in regulated industries.
Role type
Senior Generative AI Engineer (Applied ML)
Builds
Production GenAI applications, RAG systems, and agentic AI solutions
Domain
Enterprise IT services, Banking/Financial Services, Insurance, Healthcare
Deliverable
production ML models
Required skills
Generative AI (GenAI), RAG system design, Amazon Bedrock, Python, AWS (ECS/Fargate, serverless, NoSQL, managed search), Prompt engineering, LLM evaluation, REST API design, Vector/hybrid search tuning
Preferred skills
Infrastructure-as-code (Terraform/OpenTofu), React, Testing (pytest, load-testing), Data privacy compliance
Technologies
Amazon Bedrock, Python, AWS (ECS, Fargate, Lambda, DynamoDB, OpenSearch), Vector databases, REST APIs
Responsibilities
Develop RAG systems with chunking, embeddings, and retrieval tuning; Build agentic AI use cases and chatbots; Implement responsible AI features (PII handling, content safety); Design and integrate REST APIs; Evaluate LLM quality and performance; Manage vector/hybrid search at scale
Seniority
Senior, hands-on IC