Data & AI Engineer

RevStar; Florida; On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Paid Time Off

Comprehensive Health Coverage

401(k) Retirement Plan

Annual Learning & Development Stipend

Job summary

RevStar is seeking a Data & AI Engineer to lead the development of scalable AI/ML solutions on AWS. The successful candidate will work in a remote-first environment, designing LLM-based APIs, implementing data pipelines, and collaborating closely with product and DevOps teams. Applicants should have 5+ years of cloud-based ML system experience and strong skills in AWS AI/ML services, particularly Amazon Bedrock and SageMaker. RevStar offers a collaborative culture and comprehensive benefits including health coverage and a 401(k) retirement plan.

Qualifications

• 5+ years of experience designing, building, and deploying cloud-based ML or GenAI systems.
• Strong Python skills with a focus on data manipulation and API development.
• Experience with retrieval-augmented generation and prompt orchestration preferred.

Responsibilities

• Design, build, and deploy LLM-based APIs using Amazon Bedrock.
• Implement RAG pipelines using OpenSearch + S3.
• Support real-time reporting via Amazon QuickSight.
• Collaborate with product managers and DevOps to align delivery with project goals.

Skills

Deep hands-on experience with AWS AI/ML services

Strong Python development skills

Excellent communication skills

Education

Bachelor’s or Master’s in Computer Science, AI/ML, Data Science

Tools

Amazon Bedrock

SageMaker

Lambda

DynamoDB

Glue

Athena

Lake Formation

OpenSearch

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.

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