About the Role

We are looking for a highly skilled Data Scientist with strong expertise in AI orchestration, embedded systems, and generative AI integration. The role focuses on implementing enterprise-level AI solutions using Gemini models, vector databases, and orchestration frameworks. The candidate will work in a sprint-based Agile environment, building and deploying AI-powered capabilities across platforms such as Slack, Looker, and Confluence.

Roles and Responsibilities

Develop and deploy Slack-based AI assistants using Gemini models.
Design and implement prompt templates tailored for enterprise data use cases in Looker and Confluence.
Establish and manage embedding pipelines 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, validate, and optimize vector store operations (Pinecone, Weaviate, Snowflake vector extension).
Prepare and maintain technical documentation, conduct internal walkthroughs, and support user acceptance testing (UAT).
Actively participate in Agile ceremonies such as stand-ups, sprint planning, and demos.

Qualifications Required

Required:

Proven experience with Gemini and large language model (LLM) deployment in production.
Strong knowledge of Python, orchestration tools, and prompt engineering.
Hands-on experience with vector databases and embedding workflows.
Experience integrating APIs with enterprise platforms like Looker and Confluence.
Solid understanding of access control frameworks and enterprise authentication methods.
Demonstrated ability to work in Agile/sprint-based environments.

Find Your Dream Job

Filters

Latest Job Opportunities