Cloud Gemini AI Savy

Role: Cloud Gemini AI Savy Location: Remote. Contract role Primary skills : Gemini AI experience, AI multi cloud experience, Experience in running AI services, cursor coding experience • Extensive implementation experience in data analytics space or a senior developer role in one of the modern technology stacks. • Experience with Data Science techniques. • Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ELT and reporting/analytic tools and environments. • 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 • Ability to build API based scalable solutions and debug & troubleshoot software or design issues • Hands on exposure to integrating with Gemini Pro 1.x using API endpoints. • Thorough understanding of prompt engineering; 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 • Basic data engineering skills to load structured & unstructured data from source systems to target data stores • 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. • Hands on exposure to using GCP services for storage, serverless-logic, search, transcription, and chat.