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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