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AI Engineer

Zensar Technologies • IT Consulting & Digital Transformation • IT Outsourcing & Dedicated Teams • 4 days ago
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In office (Pune)

Confirmed on the employer's own hiring board on Oct 23, 2026. First seen by Alion on Oct 19, 2026. Zensar Technologies scores A on the Alion truth index.

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Zensar Technologies

Zensar Technologies is an Indian technology services company founded in 1991 and part of the RPG Group, providing digital engineering, application services and infrastructure management to clients in banking, insurance, retail, manufacturing and healthcare. Its work covers experience design, cloud and data engineering, application development and maintenance, and increasingly applied artificial intelligence, delivered from centres in India, South Africa, Europe and the United States. Headquartered in Pune and listed in India, it earns a large share of revenue from North America and has been repositioning toward higher-value engineering work.
zensar.com • HQ: Pune, India • IT Outsourcing & Dedicated Teams • IT Consulting & Digital Transformation • 1001-5000 employees • Est. 1991
Tech stack of Zensar Technologies
Zensar Technologies Limited is seeking a skilled AI Engineer to join our innovative team. You will work end-to-end on AI-powered solutions, from concept through production, leveraging our enterprise AI stack, large language models, and multi-agent frameworks to deliver cutting-edge applications for our clients.
  • Design, develop, and deploy AI-powered applications using Zensar's enterprise AI stack.
  • Build and execute proof-of-concepts (POCs) with Large Language Models (LLMs) and modern AI orchestration tools.
  • Create intelligent agents and multi-agent systems using LangGraph and agent builder platforms.
  • Implement Model Context Protocol (MCP) integrations, MCP Tools, and agent-to-agent (A2A) communication patterns.
  • Leverage vector stores, embeddings, and Retrieval-Augmented Generation (RAG) architectures.
  • Manage source code through CI/CD pipelines and ensure observability of AI applications.
  • Contribute to and maintain the internal agent registry and integration standards.
  • Perform prompt engineering and fine-tuning for GPT, Gemini, and other LLMs.
  • Collaborate with cross-functional teams to align AI solutions with business objectives.
  • Document designs, workflows, and best practices for AI development.
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