RevStar is seeking an experienced Data & AI Engineer to support the execution of packaged QuickStarts, particularly those focused on GenAI and Data Lake architecture. The ideal candidate will design, build, and deploy scalable, production-ready AI/ML solutions built on AWS-native technologies.
Requirements
- Design, build, and deploy LLM-based APIs using Amazon Bedrock
- 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 using AWS Lambda and manage prompt metadata with 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
- Stay current with AWS innovations in GenAI, MLOps, and scalable data platforms
Benefits
- Paid Time Off
- Remote-First Working Environment
- Comprehensive Health Coverage
- 401(k) Retirement Plan
- Annual Learning & Development Stipend
- Peer Mentorship & Coaching
- Professional Growth Opportunities
- Company Outings & Volunteer Opportunities
