About :
Virtusa is a global product and platform engineering services company that makes experiences better with technology. We help organizations grow faster more profitably and more sustainably by reimagining enterprises through domain-driven solutions. We combine strategy design and engineering backed by unmatched expertise at the intersection of industry business and technology to generate real-world business impact for clients. Headquartered in Massachusetts with global delivery centers Virtusa provides a broad range of services solutions and assets including strategy and design AI advisory and services digital engineering data and analytics digital assurance cloud and security cx transformation and managed services across industries such as financial services healthcare communications media entertainment travel manufacturing and technology
Skill Required -
Real time Gen AI RAG based Implementation project experience and not just POC experience(Gen AI RAG LLM Langchain Python or any programing
Responsibilities -
Ability to work across various different GenAI Models and cloud providers.
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 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
Basic data engineering skills to load structured & unstructured data from source systems to target data stores. Build and maintain data pipelines and infrastructure to support
Hands on exposure to using cloud(Azure/GCP/AWS) services for storage serverless-logic search transcription and chat
Extensive experience with data engineering and should be hands on in using Agentic AI Framework RAG.
About : Virtusa is a global product and platform engineering services company that makes experiences better with technology. We help organizations grow faster more profitably and more sustainably by reimagining enterprises through domain-driven solutions. We combine strategy design and engineering b...
About :
Virtusa is a global product and platform engineering services company that makes experiences better with technology. We help organizations grow faster more profitably and more sustainably by reimagining enterprises through domain-driven solutions. We combine strategy design and engineering backed by unmatched expertise at the intersection of industry business and technology to generate real-world business impact for clients. Headquartered in Massachusetts with global delivery centers Virtusa provides a broad range of services solutions and assets including strategy and design AI advisory and services digital engineering data and analytics digital assurance cloud and security cx transformation and managed services across industries such as financial services healthcare communications media entertainment travel manufacturing and technology
Skill Required -
Real time Gen AI RAG based Implementation project experience and not just POC experience(Gen AI RAG LLM Langchain Python or any programing
Responsibilities -
Ability to work across various different GenAI Models and cloud providers.
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 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
Basic data engineering skills to load structured & unstructured data from source systems to target data stores. Build and maintain data pipelines and infrastructure to support
Hands on exposure to using cloud(Azure/GCP/AWS) services for storage serverless-logic search transcription and chat
Extensive experience with data engineering and should be hands on in using Agentic AI Framework RAG.
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