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Zensar

Zensar

Digital transformation services

Aes – DE - Generative AI Application Developers

Full-Time
No salary listed
Senior
Hyderabad, Telangana, India
In Person

About the job

Requirements
  • Experience with Azure Machine Learning (Azure ML).
  • Experience with Python.
  • Experience with prompt engineering.
  • Experience with Retrieval Augmented Generation (RAG).
  • Experience with vector databases and embeddings.
  • Experience with LangChain and LangGraph.
  • Experience with REST API development.
  • Experience with Azure DevOps, Git, and continuous integration and continuous delivery (CI/CD).
  • At least 8 years of experience in artificial intelligence and machine learning.
  • At least 7 years of experience.
Responsibilities
  • Design and implement business-focused artificial intelligence solutions using Azure OpenAI and Azure AI Services.
  • Build AI assistants, copilots, intelligent search, and workflow automation solutions.
  • Develop and deploy Retrieval Augmented Generation (RAG) solutions leveraging enterprise data sources.
  • Integrate AI capabilities into existing enterprise applications and business processes.
  • Develop reusable AI accelerators that can be leveraged across applications and regions.
  • Support AI advisory initiatives, including reporting, intelligence, and automation use cases.
  • Drive AI use cases from concept through prototype, pilot, and production deployment.

About the company

Zensar is a global technology services company focused on enterprise digital transformation. The company provides application modernization, artificial intelligence, cloud, cybersecurity, data, engineering, experience, and managed services. It serves enterprises, public organizations, technology leaders, and business teams across multiple industries. Its operating model centers on consulting and delivery teams organized around client programs, industry practices, technology partnerships, and global operations. Teams work across software, cloud, AI, data, cybersecurity, consulting, quality engineering, and client delivery. This structure supports consistent delivery across the organization.

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