RevStar

RevStar Consulting is a client-centric cloud consulting firm that specializes in developing modern, user-focused, cloud-native web and mobile applications. They offer custom integrations, implementations, and solutions using the latest cloud technologi...

Internet Software & Services

Information Technology

51-250 (75)

Founded 2009

4 open positions

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Data & AI Engineer

3 months, 2 weeks ago

United States

Full-time

Senior

AI Engineer

Software Development

Agile AWS CI/CD DynamoDB Generative AI Git Machine Learning MLOps OpenSearch Python Serverless

Apply Now

RevStar

Internet Software & Services

51-250

Founded 2009

View All Jobs 4

Description

Design, build, and deploy LLM-based APIs using Amazon Bedrock.
Implement retrieval-augmented generation (RAG) pipelines using OpenSearch and 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 with 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 teams to align AI/ML delivery with customer and project goals.
Document solutions clearly and support onboarding and handoff to client teams.
Stay current with AWS innovations in GenAI, MLOps, and scalable data platforms.

Requirements

Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or a 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, including 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 the ability to explain AI system design and tradeoffs to technical and business stakeholders in a client-facing environment.
Comfort working in a fast-paced consulting environment and navigating ambiguity while leading delivery.

Benefits

Paid Time Off.
Remote-first working environment.
Comprehensive health coverage, including medical, dental, and vision.
401(k) retirement plan.
Annual learning and development stipend for conferences, certifications, or courses.
Peer mentorship and coaching from experienced engineers, product managers, and architects.
Professional growth opportunities across AWS GenAI, data, and cloud technologies.
Company outings and volunteer opportunities.

Interested in this position?

Apply directly on the company website

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