Summary

RevStar is a dynamic team of engineers, UX designers, and product managers committed to putting your business first in the pursuit of excellence. As an AWS Advanced Partner, we deliver cloud-native web and mobile applications, building modern data and AI solutions that drive tangible value for our clients.

We are passionate about what we build and how we build it. Our ethos is guided by Service, Collaboration, Transparency, Accountability, and Quality - principles that underpin every role, from architecture and design to coding and delivery. We approach each project with an agile mindset, continuously analyzing goals and business needs to ensure optimal outcomes.

At RevStar, our people are our greatest resource. We foster a collaborative, remote-first culture where teams freely share ideas, innovate together, and grow both individually and collectively. By joining us, you’ll have the opportunity to work with cutting-edge technologies across diverse industries, delivering value-driven products for clients who prioritize quality and performance. We believe in the pursuit of better, not just in cloud-native app development, but in creating meaningful experiences and outcomes that matter.

We are seeking an experienced Data & AI Engineer to support the execution of our packaged QuickStarts, particularly those focused on GenAI (LLM Ops) and Data Lake architecture. This role will lead the development and deployment of scalable, production-ready AI/ML solutions built on AWS-native technologies. The ideal candidate thrives in a fast-paced, consulting environment and is comfortable navigating ambiguity while leading client-facing delivery. They are a proactive leader who asks the right questions, anticipates challenges, and drives clarity, while collaborating effectively across product, DevOps, and architecture teams. Above all, the candidate embodies RevStar’s core values of Service, Transparency, Accountability, Adaptability, and Teamwork.

Role and Responsibilities

• 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

Qualifications

• 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, 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

If you're passionate about AI/ML and cloud technologies and want to work in a fast-paced and dynamic environment, we'd love to hear from you!

Location

Remote, United States

Company 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, FSA, HSA, Short-Term & Long-Term Disability.
• 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.