Data & AI Engineer

🕒 July 27

🌵 Arizona, Florida, +3 more states – Remote

🌵 Arizona – Remote 🐊 Florida – Remote 🏖️ New Jersey – Remote 🤠 Texas – Remote ⚔️ Virginia – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 16%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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RevStar

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2018

💼 Consulting

🤝 B2B

🤖 Artificial Intelligence

Consulting • B2B • Artificial Intelligence

RevStar is a digital transformation and innovation consultancy that helps organizations move from vision to execution by combining strategic clarity with technical execution. They offer services including strategic growth roadmaps, modern customer journey design, GenAI/AI action plans, data infrastructure, product testing and MVP sprints, and modernization roadmaps. RevStar emphasizes practical, outcomes-driven innovation and partners with leaders in healthcare, insurance, and finance to solve mission-critical challenges.

📋 Description

• Design, build, and deploy LLM-based APIs using Amazon Bedrock, supporting models like 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 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

🎯 Requirements

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

🏖️ Benefits

• Paid Time Off – Take the time you need to recharge and stay productive. • Remote-First Working Environment – Collaborate from anywhere while staying connected with our global team. • Comprehensive Health Coverage – Medical, Dental, Vision • 401(k) Retirement Plan – Plan for your future with access to a company-sponsored 401(k) program. • Annual Learning & Development Stipend – Invest in your skills with conferences, certifications, or courses. • Peer Mentorship & Coaching – Learn from experienced engineers, product managers, and architects to accelerate your growth. • Professional Growth Opportunities – Exposure to cutting-edge AWS GenAI, data, and cloud technologies across diverse industries. • Company Outings & Volunteer Opportunities – Build relationships and give back to the community. • Collaborative, Innovative Culture – Work alongside top talent in a fast-paced, supportive environment that values curiosity and initiative.