AgentOps Engineer/Agentic AI Engineer

Required Qualifications:• 5+ years of experience in Software Engineering, Machine Learning Engineering, or AI Engineering.• Strong proficiency in Python and modern software engineering best practices.• Hands-on experience building and deploying production-grade GenAI, Agentic AI, or LLM-powered applications.• Experience with AgentOps platforms such as LangSmith, Langfuse, Databricks, MLflow, or similar observability and evaluation tools.• Strong understanding of RAG, prompt engineering, tool calling, agent memory, and multi-agent architectures.• Experience with agent orchestration frameworks such as LangGraph, LangChain, CrewAI, AutoGen, or similar technologies.• Strong debugging, troubleshooting, and performance optimization skills.• Excellent communication and collaboration skills, with the ability to work effectively across cross-functional teams. Preferred Qualifications:• Experience with MLOps, LLMOps, or AgentOpspractices in enterprise environments.• Familiarity with cloud platforms (AWS, Azure, or GCP) and container technologies (Docker, Kubernetes).• Experience implementing AI evaluation, monitoring, and governance frameworks.