Job Description

Key Responsibilities:

  • Develop and deploy Slack-based AI assistants leveraging Gemini models.
  • Design and implement prompt templates tailored to enterprise data use cases (Looker and Confluence).
  • Establish and manage an embedding pipeline for Confluence documentation.
  • Build and maintain orchestration logic for prompt execution and data retrieval.
  • Set up API authentication and role-based access controls for integrated systems.
  • Connect and validate vector store operations (e.g., Pinecone, Weaviate, or Snowflake vector extension).
  • Contribute to documentation, internal walkthroughs, and user acceptance testing planning.
  • Participate in Agile ceremonies including daily standups and sprint demos.

Required Qualifications:

  • Proven experience with Gemini and large language model deployment in production environments.
  • Proficiency in Python, orchestration tools, and p...

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