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

Key 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
- Robust 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

📌 Gen AI Engineer (Bengaluru)
🏢 Infosys
📍 Bengaluru