Enterprise Architect with AI project implementation - Hybrid in NJ
- Extensive implementation experience in data analytics space or a senior developer role in one of the modern technology stack.
- 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.
- Extensive experience with data engineering and ETL tools is a big plus.
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