Good 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 atleast one of the popular LLMs(Open AI GPT, PaLM 2, Dolly, Claude 2, Cohere etc.) 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 cloud(Azure/GCP/AWS) services for storage, serverless-logic, search, transcription and chat Extensive experience with data engineering and ETL tools is a big plus.Masters/Bachelors degree in Computer Science or Statistics or Mathematics. Should possess Agentic AI experience. .
Key Skills and Experience
Good 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 at least one of the popular LLMs (Open AI GPT, PaLM 2, Dolly, Claude 2, Cohere etc.) 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 cloud (Azure/GCP/AWS) services for storage, serverless-logic, search, transcription, and chat
Extensive experience with data engineering and ETL tools is a big plus
Masters/Bachelors degree in Computer Science or Statistics or Mathematics
