Gemini AI Engineer with Cloud (AWS & Google Cloud Platform)

Job Description:

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 Google Cloud Platform services for storage, serverless-logic, search, transcription, and chat.

Thanks & Regards,