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Job Description
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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.
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