Data & AI Engineer

About The Company
RevStar is a dynamic and innovative team comprising engineers, architects, and product managers dedicated to delivering exceptional cloud-native, data, and AI solutions. As an AWS Advanced Tier Partner, we focus on putting your business first by creating impactful, scalable, and cutting-edge technology solutions. Our approach is centered around excellence, agility, and continuous improvement, ensuring that each project aligns with our clients' strategic goals. We foster a collaborative, remote-first culture that encourages idea sharing, innovation, and professional growth. At RevStar, we believe in building meaningful experiences and outcomes that matter, leveraging the latest technologies across various industries to deliver value-driven products.
About The Role
We are seeking an experienced Data & AI Engineer to join our team to support the development and deployment of advanced AI solutions, particularly those focused on Generative AI (GenAI) and Data Lake architecture. This role involves leading the creation of scalable, production-ready AI/ML solutions utilizing AWS-native technologies. The ideal candidate will thrive in a fast-paced, consulting environment, demonstrating proactive leadership, problem-solving skills, and effective collaboration with cross-functional teams. You will be responsible for designing, building, and maintaining AI APIs, data pipelines, and real-time dashboards, ensuring seamless integration and deployment aligned with client needs. This position offers an exciting opportunity to work with emerging AI technologies, contribute to innovative projects, and support clients in achieving their digital transformation goals.
Qualifications

• Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or related fields
• Minimum of 5 years of experience designing, building, and deploying cloud-based ML or GenAI systems
• Deep hands-on experience with AWS AI/ML services including Amazon Bedrock, SageMaker, Lambda, S3, DynamoDB, Glue, Athena, Lake Formation, OpenSearch, and QuickSight
• Strong proficiency in Python programming, especially in data manipulation, API development, and automation
• Experience implementing retrieval-augmented generation, prompt orchestration, or LLMOps workflows (preferred)
• Familiarity with CI/CD pipelines, Infrastructure-as-Code (IaC), and Git workflows
• Excellent communication skills with the ability to explain technical concepts to both technical and non-technical stakeholders

Responsibilities

• Design, develop, and deploy LLM-based APIs utilizing Amazon Bedrock, supporting models such as Claude, Titan, Nova, and Cohere
• Implement retrieval-augmented generation (RAG) pipelines using OpenSearch and S3 for efficient data retrieval and processing
• Build data pipelines for curated and raw data layers leveraging AWS Glue, Athena, and Lake Formation to ensure data quality and accessibility
• Support the creation of real-time reporting and AI usage dashboards via Amazon QuickSight for monitoring and insights
• Design serverless workflows using AWS Lambda and manage prompt metadata with DynamoDB to streamline AI interactions
• Implement prompt orchestration strategies, including fallback handling, version control, and safety guardrails to ensure reliable AI outputs
• Collaborate closely with product managers, architects, and DevOps teams to align AI/ML solutions with client and project objectives
• Document technical solutions clearly and support onboarding processes for client teams during handoff
• Stay updated with the latest AWS innovations in GenAI, MLOps, and scalable data platform technologies to incorporate best practices

Benefits

• Paid Time Off – Flexible leave policy to support work-life balance
• Remote-First Working Environment – Collaborate from anywhere while staying connected with our global team
• Comprehensive Health Coverage – Medical, Dental, and Vision insurance plans
• 401(k) Retirement Plan – Secure your future with company-sponsored retirement savings
• Annual Learning & Development Stipend – Invest in your professional growth through courses, certifications, and conferences
• Peer Mentorship & Coaching – Gain insights and guidance from experienced colleagues to accelerate your career
• Professional Growth Opportunities – Engage with cutting-edge AWS GenAI, data, and cloud technologies across diverse industries
• Company Outings & Volunteer Opportunities – Build relationships and give back to the community in meaningful ways
• Collaborative, Innovative Culture – Thrive in a fast-paced environment that values curiosity, initiative, and teamwork

Equal Opportunity
RevStar is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, ethnicity, gender, age, disability, sexual orientation, religion, or any other protected status. We believe that diverse perspectives foster innovation and drive our success, and we welcome applicants from all backgrounds to join our team.