Added
2 days ago
Type
Full time
Salary
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azure aws kubernetes spring boot rag

๐Ÿ“‹ Description

  • Lead design, dev, deploy, and support of Agentic AI apps.
  • Mentor AI engineers and contractors; code reviews.
  • Architect RAG pipelines, vector search, embedding-based retrieval, LLMs.
  • Design MCP Server integrations to extend agentic capabilities.
  • Collaborate with VP Engineering to translate AI strategy into execution plans.
  • Own selection and integration of AI frameworks for scalable, secure solutions.

๐ŸŽฏ Requirements

  • Bachelor's degree in a technical or numerical field; Master's preferred.
  • 8+ years designing software apps and/or data pipelines; 3+ years leading AI teams.
  • Experience in LangGraph, LangChain, RAG chatbots, vector databases, LLMs.
  • Microservices, Kubernetes, OpenShift, AWS/Azure, Spring Boot, Node.js, CI/CD.
  • Trino, Superset, S3, Airflow, PySpark, Hive experience preferred.
  • Financial services big data infra experience; strong ML/cloud skills.

๐ŸŽ Benefits

  • Medical, dental, and vision coverage
  • 401K matching
  • Flexible PTO
  • Life insurance
  • Employee assistance program
  • Pet insurance
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