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 up-to-date 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.
Robust 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.
Robust 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.

📌 Agentops Ml Engineer Hyderabad (India)
🏢 Wallero Technologies
📍 India