Data & AI Engineer

Build what matters as a Data & AI Engineer at RevStar.

RevStar is a dynamic team of engineers, architects, and product managers committed to putting your business first in the pursuit of excellence. As an AI-first, full-service innovation shop and AWS Advanced Tier Partner, we deliver end-to-end cloud-native, data, and AI solutions that create real business impact.

We are passionate about what we build and how we build it. 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, 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 ideal candidate embodies RevStar’s core values:

Self-Mastery: We hold a high bar for how we think, communicate, and improve.

Ownership: We own outcomes, not just effort.

Shared Destiny: We rise or fall together.

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

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.