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Generative AI Engineer

Date Posted: Sep 10, 2026

Job Detail

  • location_on
    Location Bengaluru, Karnataka, India
  • desktop_windows
    Job Type: Full Time/Permanent
  • schedule
    Shift:
  • analytics
    Career Level:
  • group
    Positions:
  • calendar_view_day
    Experience:
  • male
    Gender: No Preference
  • school
    Degree:
  • calendar_month
    Apply Before: Dec 07, 2026

Job Description

Job Description

Role Overview

 

We are looking for a Generative AI Engineer to build, optimize, and productionise cutting-edge AI systems. You will focus heavily on backend AI orchestration, framework integration, and model performance. In this role, you will take advanced RAG workflows and multi-agent concepts and turn them into scalable, production-grade enterprise software.

Location- Bangalore, Pune, Chennai

Experience-4 to 7yrs

Key Responsibilities

 

  • AI Orchestration: Build, test, and optimize bespoke Agentic AI solutions and multi-agent workflows.
  • Core Product Integration: Co-develop integration pipelines to embed core AI models into client environments.
  • Technical Delivery: Own the technical lifecycle of AI applications from rapid prototype to stable production release.
  • Optimization & Debugging: Perform technical debugging, root-cause analysis, and latency/prompt optimizations.
  • Best Practices: Implement engineering best practices for LLM evaluation, guardrails, and version control.
  • Risk Management: Identify and flag model drift, data leakage, and system risks early.

 

Technical Requirements

 

  • GenAI Ecosystem: 2+ years of hands-on experience building production RAG pipelines and multi-agent systems using LangChain, LangGraph, or LlamaIndex.
  • Protocols & Frameworks: Strong understanding of Model Context Protocols (MCP), A2A protocols, and Agent Developer Kits.
  • LLM Engineering: Practical proficiency in prompting techniques, fine-tuning workflows, and evaluating LLM outputs.
  • Data Science Stack: Strong hands-on experience leveraging Python, pandas, scikit-learn, and PyTorch.
  • Cloud & MLOps: Experience deploying and scaling machine learning solutions on AWS, Azure, or GCP.
  • DevOps & Containers: Working knowledge of Docker, Kubernetes, CI/CD pipelines, and GitHub Actions.
  • Backend Stack: Production-grade backend coding skills in Python, with basic familiarity in JavaScript/TypeScript for API integrations.

 

Source: Wipro careers — Read the original posting and apply

This role is listed by the employer on its own careers site. Kaam Ki Khoj does not process applications for it.

Company Overview

Wipro
Wipro · Bengaluru, Karnataka, India
5,630 open roles

Wipro is an employer in the IT/Computers - Software, Software Services sector with operations in India. This is a directory listing maintained by Kaam Ki Khoj so that candidates can find the organisation; it is not an official company page and Kaam K... Read More

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