Added
7 days ago
Type
Full time
Salary
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Related skills

docker aws python kubernetes rag

๐Ÿ“‹ Description

  • Lead end-to-end ML/AI system design and deployment within client environments.
  • Build, deploy, and evolve scalable ML platforms and pipelines.
  • Diagnose and unblock live system integrations in cloud contexts.
  • Set AI-forward engineering standards; promote Claude and Cursor adoption.
  • Embed with client teams to translate business problems into AI designs.
  • Lead design reviews and raise engineering rigor across teams.

๐ŸŽฏ Requirements

  • 7+ years of software engineering; 4+ years AI/ML in production; hands-on generative AI.
  • Expert Python (or similar) with scalable, maintainable system design.
  • Deep AWS GenAI and cloud platform expertise.
  • Proven track record shipping complex agentic systems in production.
  • Mastery of AI frameworks and orchestration tools; Docker and Kubernetes.
  • Extensive experience building RAG pipelines: embeddings, vector databases.
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