RevStar is hiring an experienced Data & AI Engineer for remote work in Virginia to build production-ready AI/ML solutions on AWS.

Design, build, and deploy LLM-based APIs using Amazon Bedrock with models including Claude, Titan, Nova, and Cohere
Implement retrieval-augmented generation (RAG) pipelines using OpenSearch + S3
Build data pipelines for curated and raw data layers using AWS Glue, Athena, and Lake Formation
Support real-time reporting and AI usage dashboards via Amazon QuickSight
Design serverless workflows with AWS Lambda and manage prompt metadata using DynamoDB
Implement prompt orchestration strategies, including fallback handling, versioning, and safety guardrails
Collaborate with product managers, architects, and DevOps to align AI/ML delivery with customer and project goals
Document solutions clearly and support onboarding for handoff to client teams
Keep up with AWS advances in GenAI, MLOps, and scalable data platforms

Bachelor’s or Master’s in Computer Science, AI/ML, Data Science, or a related field
5+ years designing, building, and deploying cloud-based ML or GenAI systems
Deep, hands-on experience with AWS AI/ML services including Amazon Bedrock, AgentCore, SageMaker, Lambda, S3, DynamoDB, Glue, Athena, Lake Formation, OpenSearch, and QuickSight
Strong Python skills for data manipulation, API development, and automation
Experience with RAG, prompt orchestration, or LLMOps workflows (preferred)
Familiarity with CI/CD, Infrastructure-as-Code (IaC), and Git-based workflows
Excellent communication skills, including the ability to explain AI system design and tradeoffs to technical and business stakeholders in a client-facing professional services environment

Data & AI Engineer

Job Description