Z

Zensar

Global IT services for digital transformation

Aes – DE - Generative AI Application Developers

AI Application EngineeringUpdated on Nov 10
Full-timeHyderabad, Telangana, IndiaNo salary listedIn-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 or LangGraph.
  • Experience with REST API development.
  • Experience with Azure DevOps, Git, and continuous integration/continuous delivery (CI/CD).
  • At least 7 years of experience; the posting also states an AI/ML requirement of 8+ years.

Responsibilities

  • Design and implement business-focused AI 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.
  • Work closely with business stakeholders, regional leads, and application teams to convert AI use cases into production-ready solutions.

About the Company

Zensar

Global IT services for digital transformation

Digital solutions and IT services company that partners with global organizations to drive digital transformation. Its offerings include intelligent automation, analytics, hyperconverged infrastructure, and digital application development and maintenance, delivered through long-term contracts, project-based engagements, and managed services. Indigo Slate handles virtual event creation. Zensar’s Living AI integrates artificial intelligence into business processes to boost outcomes. Unlike many competitors, it emphasizes reducing capital expenditure (Capex) and operating expenditure (Opex), simplifying vendor management, and improving efficiency through automation. The overall goal is to help clients adapt to the digital landscape, optimize technology infrastructure, and achieve higher operational efficiency.

Company size
10,001+
Company stage
IPO
Headquarters
Pune, India
Founded
1991

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