Data & AI Engineer

RevStar Consulting Inc; Northern (KY); Hybrid; USD 150,000 - 200,000; Full time

Benefits offered by this job

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 Opportunt.

Collaborative, Innovative Culture

Job summary

RevStar Consulting Inc. is seeking an experienced Data & AI Engineer to lead the deployment of scalable AI/ML solutions on AWS, focusing on GenAI (LLM Ops) and Data Lake architecture.

You will drive architecture, design, and client delivery in a remote-first consulting environment, collaborating with product, DevOps, and architecture teams. The ideal candidate has 5+ years of cloud AI/ML experience, deep AWS services expertise, and strong Python development skills, with a proactive,

Qualifications

• 5+ years of experience designing, building, and deploying cloud-based ML or GenAI systems.
• Deep hands-on experience with AWS AI/ML services: Bedrock, SageMaker, Lambda, S3, DynamoDB, Glue, Athena, Lake Formation, OpenSearch, 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 clients in a professional services environment.

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 goals.
• Document solutions clearly and support onboarding for handoff to client teams.
• Stay current with AWS innovations in GenAI, MLOps, and scalable data platforms.

Skills

Python development

AI/ML systems

Data pipelines

APIs

LLMOps

Education

Bachelor’s or Master in CS/AI/DS

Tools

Amazon Bedrock

SageMaker

OpenSearch

S3

Lambda

DynamoDB

Glue

Athena

Lake Formation

QuickSight

Job description

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

• 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

• 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, certificates, 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.

Equal Opportunity Employment

At RevStar, we don’t just accept differences — we celebrate them, we support them, and we thrive on them for the benefit of our employees, our customers, and our community. RevStar is proud to be an equal opportunity workplace.

Reasonable Accommodations

RevStar is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation, contact HR at [e-mail].