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10 days ago
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📋 Description

  • Lead end-to-end ML/AI system design and architecture decisions.
  • Build and evolve scalable ML platforms and pipelines for reliable deployment.
  • Set AI engineering standards; adopt tools like Claude and Cursor.
  • Lead design reviews and technical discussions to raise engineering rigor.
  • Proven track record shipping complex AI systems in production.
  • Build and optimize RAG pipelines with embeddings and vector databases.

🎯 Requirements

  • 7+ years software engineering; 4+ years AI/ML in production.
  • Hands-on generative AI development experience.
  • Strong Python (or similar) for scalable systems.
  • Docker & Kubernetes experience.
  • AI architecture design and tradeoff analysis.
  • RAG pipelines with embeddings and vector databases.
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