Data and AI Engineer

Rev Star 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 Rev Star, 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 Quick Starts, 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, Dev Ops, and architecture teams. Above all, the candidate embodies Rev Star’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 Open Search + 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 Quick Sight 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 Dev Ops 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 This job description is only a summary of the typical functions of the job and is not an exhaustive list of all possible responsibilities, tasks, and duties. 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, Sage Maker, Lambda, S3, DynamoDB, Glue, Athena, Lake Formation, Open Search, and Quick Sight 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 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. 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. Equal Opportunity Employment At Rev Star, 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. Rev Star is proud to be an equal opportunity workplace. Reasonable Accommodations Rev Star is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Seniority Level Mid‑Senior level Employment Type Full‑time Job Function Engineering and Information Technology Industries Software Development Referrals increase your chances of interviewing at Rev Star by 2x.