AgentOps (ML Engineer)

Job Description

We are seeking an experienced AgentOps(Machine Learning Engineer) to adopt the AgentOps framework into production-grade GenAI and Agentic AI solutions. The ideal candidate has strong Python engineering skills (API provision, production-grade code refactoring), hands-on experience with AgentOps frameworks (LangSmith/LangFuse/Phoenix, etc.)

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 optimisation skills.
• Excellent communication and collaboration skills, with the ability to work effectively across cross-functional teams.

Preferred Qualifications

• 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.