AGENTIC OPS
Virtusa
Proficiency in frameworks like Lang graphs , Crew AI or AutoGen
Ability to create marked down files to define how agents should handle complex logic
Support development of reusable components for agent lifecycle management , orchestration , monitoring and metering
Tracking new metrics like token usage , agent success rates , cost per execution , models rifts
Understanding how to implement RAG
Ability to define approval gates for high stake actions (HILT)
Good knowledge of Python and Go (for integrations with Kubernetes and terraform)
Understanding of MCP in context of CI/CD pipelines and monitoring stacks
Screening Criteria
DevOps/SRE experience
Hands on experience with LLMs, vector DBs , MCPs etc
Good background on telemetry , observability and understand the concept of role of agents in the Devops chain