Gen AI Engineer

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• 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
• 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: