Generative AI Engineer – Wipro

AI Engineer, Generative AI
Karnataka, India, Bengaluru
October 14, 2026
Full Time

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Job Description

Wipro is hiring a generative AI engineer who will have to design, optimize and deliver AI solutions to businesses. This includes AI orchestration, RAG flow, multi-agent systems, models integration, and backend engineering. This position includes application creation, optimization, assessing the output of LLMs, implementing guardrails and deploying the applications on the cloud platform.

Location: Bengaluru, Karnataka, India

Qualification: Bachelor’s Degree/Master’s Degree (Preferred) 

Experience: 3-5 Years 

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Responsibilities

  • Enhance agentic AI techniques and multi-agents for use at an enterprise level.
  • Establish the pipeline to incorporate core AI functions with those of the clients.
  • Handle AI application development from concept generation until full implementation and distribution.
  • Perform debugging, root-cause analysis, latency optimisation, and prompt optimisation across applications.
  • Implement LLM evaluation, guardrails, version control, and comprehensive AI risk management practices.

Requirements

  • Should have an experience in building RAG pipelines and MAS on latest AI frameworks.
  • MCP, A2A, and Agent Developer Kit development experience should be there.
  • Should have experience in prompting, workflow optimization, and evaluation of the output generated by large language models.
  • Should be proficient in Python including pandas, scikit-learn, and PyTorch.
  • Experience in deploying and scaling machine learning solutions on major cloud platforms.

Preferred Qualifications

  • Experience in LangChain, LangGraph, or LlamaIndex for development of AI-based apps at an enterprise level.
  • Experience with Docker, Kubernetes, CI/CD pipeline, and GitHub Actions for deployment purpose.
  • Experience in developing Python-based backend apps and API integration.
  • Knowledge of JavaScript or TypeScript for backend application integration purpose.
  • Experience in handling model drift, data leakage, performance, and production problems.

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