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Gen AI Engineer

Date Posted: Aug 04, 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: Nov 14, 2026

Job Description

We are seeking a highly motivated Generative AI / LLMOps Engineer with hands-on experience in building, deploying, monitoring, and optimizing Large Language Model (LLM) applications in production environments. The ideal candidate should have strong expertise in Generative AI, LLMOps, RAG frameworks, cloud platforms, and MLOps practices.

The role involves developing scalable AI solutions, managing LLM lifecycles, and ensuring reliable deployment and monitoring of enterprise-grade GenAI applications.

Responsibilities

Design, develop, deploy, and maintain Generative AI applications using LLMs.

Build and operationalize LLM pipelines across development, testing, and production environments.

Implement LLMOps best practices for model deployment, monitoring, evaluation, governance, and lifecycle management.

Develop Retrieval-Augmented Generation (RAG) solutions using enterprise knowledge repositories.

Integrate LLMs with APIs, databases, business applications, and cloud services.

Monitor model performance, latency, cost optimization, hallucinations, and model drift.

Create automated CI/CD pipelines for AI model deployment and versioning.

Collaborate with Data Scientists, ML Engineers, and Cloud Teams to deliver scalable AI solutions.

Ensure security, compliance, observability, and responsible AI practices across GenAI platforms.

Technical requirements

Docker & Kubernetes

CI/CD Pipelines

MLflow

Terraform

MLOps Platforms

Agentic AI Frameworks (CrewAI, AutoGen, LangGraph)

Knowledge Graphs

NLP & Machine Learning Fundamentals

Additional responsibilities

2-5 years of experience in AI/ML, Generative AI, LLM Engineering, or MLOps.

Strong understanding of LLM lifecycle management and production deployment.

Experience building enterprise AI assistants, chatbots, search, or knowledge management solutions.

Excellent problem-solving and analytical skills.

Effective communication and collaboration abilities.

Preferred skills

  • Technology › AI-Data science › Machine Learning
  • Technology › AI-Generative AI › Artificial Intelligence - BASIC
  • Technology › AI-Generative AI › Generative AI for Data Analytics

About the role

  • Role: Senior Associate Consultant
  • Experience: 3 - 5 years
  • Education: Bachelor of Engineering, Bachelor Of Technology (Integrated)

Source: Infosys 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

Infosys
Infosys · Bengaluru, Karnataka, India
1,811 open roles

Infosys 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... Read More

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