Gen AI Engineer

Infosys; Bengaluru; On-site; INR 1,000,000 - 2,000,000; Full time

Job summary

Infosys is seeking a skilled AI/ML professional to design, develop, deploy, and maintain Generative AI applications using large language models. You will build and operationalize end-to-end LLM pipelines across development, testing, and production environments, while implementing LLMOps practices for deployment, monitoring, evaluation, governance, and lifecycle management.

You will develop Retrieval-Augmented Generation (RAG) solutions, integrate LLMs with APIs, databases, and cloud services,

Qualifications

• Experience in AI/ML, Generative AI, LLM engineering, or MLOps (2-5 years).
• Strong understanding of LLM lifecycle management and production deployment.
• Experience building enterprise AI assistants, chatbots, search, or knowledge management solutions.

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.

Skills

AI/ML

Generative AI

LLM Engineering

MLOps

CI/CD

NLP

RAG

Knowledge Graphs

Security

Observability

Collaboration

Tools

LangGraph

CrewAI

AutoGen

Terraform

MLflow

Kubernetes

Job description

Docker & Kubernetes CI/CD Pipelines MLflow Terraform MLOps Platforms Agentic AI Frameworks (CrewAI, AutoGen, LangGraph) Knowledge Graphs NLP & Machine Learning Fundamentals

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.

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.