Job Description

What You’ll Do

  • Build production-grade data pipelines that power AI systems
  • Design and deploy RAG architectures, embeddings pipelines, and LLM-powered features
  • Implement monitoring, observability, and evaluation frameworks for AI systems
  • Rapidly prototype and move solutions from experiment → production
  • Partner with Product and Data Science to turn business requirements into scalable AI solutions
  • Work heavily within AWS (SageMaker, Bedrock, Lambda, ECS/EKS, S3)

What We’re Looking For

  • 7+ years of experience in ML Engineering and/or Data Engineering
  • Proven experience building and deploying LLM-powered applications in production
  • Strong background in RAG systems, vector databases, embeddings, retrieval systems
  • Deep familiarity with AWS AI/ML stack
  • Strong software engineering fundamentals (CI/CD, testing, version control)
  • Ability to operate ...

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