GenAI & Data Engineer — AWS LLM, Data Lake, RAG

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

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,