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Closed on September 16, 2026.
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Job Description
RevStar is seeking an experienced Data & AI Engineer (remote in Virginia) to lead production AI/ML delivery on AWS with a focus on GenAI and data lake architecture.
Responsibilities
- Design, build, and deploy LLM-based APIs using Amazon Bedrock, including support for models such as Claude, Titan, Nova, and Cohere
- Implement retrieval-augmented generation (RAG) pipelines using OpenSearch and S3
- Build data pipelines for curated and raw data layers with AWS Glue, Athena, and Lake Formation
- Enable real-time reporting and AI usage dashboards using Amazon QuickSight
- Design serverless workflows with AWS Lambda and manage prompt metadata in DynamoDB
- Develop prompt orchestration strategies, including fallback handling, versioning, and safety guardrails
- Partner with product managers, architects, and DevOps to align AI/ML delivery with customer and project goals
- Document solutions clearly and support onboarding for client-team handoff
- Keep pace with AWS innovations across GenAI, MLOps, and scalable data platforms
Requirements
- 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 and data services, including Amazon Bedrock, AgentCore, SageMaker, Lambda, S3, DynamoDB, Glue, Athena, Lake Formation, OpenSearch, and QuickSight
- Strong Python development skills focused on data manipulation, API development, and automation
- Experience implementing RAG, prompt orchestration, or LLMOps workflows (preferred)
- Familiarity with CI/CD, Infrastructure-as-Code (IaC), and Git-based workflows
- Excellent communication skills for explaining AI system design and tradeoffs to both technical and business stakeholders in a client-facing professional services environment
Technologies
- Amazon Bedrock, Claude, Titan, Nova, Cohere
- OpenSearch, S3
- AWS Glue, Athena, Lake Formation
- Amazon QuickSight
- AWS Lambda, DynamoDB
- Amazon AgentCore, Amazon SageMaker
- Python, CI/CD, Infrastructure-as-Code (IaC), Git
- LLM Ops, MLOps
Benefits
- Paid Time Off
- Remote-First Working Environment
- Comprehensive Health Coverage: Medical, Dental, Vision
- 401(k) Retirement Plan
- Annual Learning & Development Stipend
- Peer Mentorship & Coaching
- Professional Growth Opportunities
- Company Outings & Volunteer Opportunities
- Collaborative, Innovative Culture
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