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Data & AI Engineer

5 months 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

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
51-250
Founded 2009
View All Jobs 6

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

Apply Now

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