Job Description

Description

/Preferred Qualifications

Key Objectives:

  • Develop a chatbot capable of answering questions about historical software bugs, feature requests, or documentation using semantic search and RAG.
  • Build an intelligent agent that automatically classifies and prioritizes new issues, and recommends appropriate actions (e.g., assignment, escalation, deferral).
  • Integrate conventional and vector databases to manage structured and unstructured data.
  • Apply natural language processing (NLP) techniques to extract meaningful insights from issue descriptions and metadata.

    • Technologies & Tools:

  • Microsoft Graph Connectors
  • Python, LangChain or LlamaIndex
  • Vector databases (e.g., Pinecone, Qdrant, Weaviate)
  • Embedding models (e.g., SentenceTransformers, OpenAI)
  • Conventional databases (e.g., PostgreSQL, MongoDB)
  • Large Language Models (e.g., GPT-4, Claude)

    • Learning Outcom...

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