AgentOps

Virtusa is a company focused on engineering excellence, creativity, and an AI-first mindset to co-create solutions that help businesses grow faster, operate smarter, and improve experiences with technology.

• 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 with AgentOps platforms and AgentOps frameworks
• Strong understanding of RAG, prompt engineering, tool calling, agent memory, and multi-agent architectures
• Experience with MLOps, LLMOps, or AgentOps practices in enterprise environments (preferred)
• Familiarity with cloud platforms (AWS, Azure, GCP) and container technologies (Docker, Kubernetes) (preferred)
• Experience implementing AI evaluation, monitoring, and governance frameworks (preferred)

• Adopt AgentOps framework into production-grade GenAI and Agentic AI solutions
• Build and deploy production-grade GenAI, Agentic AI, or LLM-powered applications
• Utilize AgentOps platforms such as LangSmith, Langfuse, Databricks, and MLflow for observability and evaluation
• Implement agent orchestration frameworks like LangGraph, LangChain, CrewAI, AutoGen
• Perform debugging, troubleshooting, and performance optimization
• Collaborate effectively across cross-functional teams