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Full time 🤖 AI / ML

Gen AI Engineer (INFSYS-EXTERNAL-250581) at Infosys

Listed by DevShelfHub

Bangalore, India
Hybrid
Mid-level · 3–5 yrs

About the Role

Enterprises need engineers who can operationalize Generative AI applications with LLMOps, RAG, and responsible AI governance. Infosys is hiring a Gen AI Engineer in Bangalore.

What you'll do

  • Design, develop, deploy, and maintain Generative AI applications using LLMs
  • Build and operationalize LLM pipelines across development, testing, and production
  • Implement LLMOps best practices for model deployment, monitoring, evaluation, and governance
  • Develop Retrieval-Augmented Generation 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
  • Ensure security, compliance, observability, and responsible AI practices

What we're looking for

  • Bachelor of Engineering or Bachelor of Technology (Integrated)
  • 3-5 years 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

Skills & Technologies

Required

Bachelor of Engineering or Bachelor of Technology (Integrated) 3-5 years 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 Docker and Kubernetes proficiency CI/CD Pipelines, MLflow, Terraform, MLOps Platforms Agentic AI Frameworks: CrewAI, AutoGen, LangGraph Knowledge Graphs and NLP & Machine Learning Fundamentals

Benefits & Perks

  • Health Insurance
  • Flexible Leave Policy
  • Learning Budget
  • EPF / NPS

Why This Role is Good for Experienced Professionals

  • This role owns the full GenAI application lifecycle from development through production deployment and monitoring.
  • Design, develop, deploy, and maintain Generative AI applications using LLMs
  • Build and operationalize LLM pipelines across dev, testing, and production
  • Implement LLMOps for deployment, monitoring, evaluation, governance, and lifecycle management
  • Develop RAG solutions using enterprise knowledge repositories
  • Integrate LLMs with APIs, databases, business applications, and cloud services
  • Monitor model performance, latency, cost, hallucinations, and model drift
  • Create automated CI/CD pipelines for AI model deployment and versioning
  • Collaborate with Data Scientists, ML Engineers, and Cloud Teams
  • Ensure security, compliance, observability, and responsible AI practices
  • Work with agentic AI frameworks — CrewAI, AutoGen, LangGraph

About Infosys

Infosys Data & Analytics Unit builds Generative AI solutions for enterprise clients. The team delivers scalable AI assistants, chatbots, and knowledge management solutions with production-grade LLMOps practices.
Industry
Technology
Company Size
500+
Website
infosys.com
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Job Details

Type
Full time
Level
Mid-level
Experience
3–5 years
Location
Bangalore, India
Work Mode
Hybrid
Category
AI / ML

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