Job Description
Primary skills : Gemini Agent space, AI multi cloud experience, Experience in running AI services, vibe coding(Cursor), Vertex
Secondary skills : Terraform, Multi cloud experience (AWS)
Excellent programming skills and proficiency in at least one of the major programming scripting languages used in Gen AI orchestration such as Python or PySpark or Java
Hands on exposure to integrating with Gemini Pro 1.x using API endpoints.
Hands on exposure to using GCP services for storage, serverless-logic, search, transcription, and chat
Thorough understanding of Cursor coding(Vibe coding); implementation exposure to LLM agents like LangChain & vector databases Pinecone or Chroma or FAISS
Ability to quickly conduct experiments and analyze the features and capabilities of newer versions of the LLM models as they come into market
Work closely with Gen AI leads and other team members to address requirements from the product backlog
Build and maintain data pipelines and infrastructure to support AI Solutions.
Implement IAM, data encryption, and compliance policies for AI data and models.
