MLOps Engineer - AgentOps

Job Summary:
We are seeking an experienced AgentOps(Machine Learning Engineer) to adopt AgentOps framework into production-grade GenAI and Agentic AI solutions. The ideal candidate has strong Python engineering skills, hands-on experience with AgentOps frameworks.
Experience:
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.
Nice to Have:
Experience with MLOps, LLMOps, or AgentOps practices in enterprise environments.
Familiarity with cloud platforms (AWS, Azure, or GCP) and container technologies (Docker, Kubernetes).
Experience implementing AI evaluation, monitoring, and governance frameworks.

Work arrangement
Yes