Lead GenAI Engineer
Posted by Virtusa
Job description
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
- Should possess Agentic AI experience
Qualification
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
- Should possess Agentic AI experience
Tell your friends about this:
Back to search
