Description
We are looking for a Senior Automation Tester in Python to own functional, security and performance test suites for the agentic gateway within our Enterprise Agent Development Platform — a production-grade, cloud-native ecosystem that enables engineering teams to define, orchestrate, deploy, and observe AI agents at scale.
Responsibilities
Validate agentic workflows, including agent tool discovery, tool invocation and multi-step agent workflows Test MCP protocol functionality, including tool list aggregation, tool call routing and streaming response handling Verify agent authorization mechanisms through unauthorized tool access attempts and policy enforcement validation Conduct agent performance testing, covering tool discovery latency, concurrent agent sessions and agent-to-agent latency Build Python test automation suites using pytest with async support, mock MCP servers and agent workflow simulation Validate agentic observability, including trace completeness, agent step logging and audit trail verification
Requirements
3+ years of QA engineering experience for AI/ML or agent systems Hands-on experience testing AI agent systems in a production agentic AI project, such as MCP protocol testing, agent authorization/policy-enforcement testing or multi-step agent workflow test automation Experience testing LLM agent workflows, including tool calling and multi-step reasoning Expertise in security testing for authorization and authentication Skills in performance benchmarking for
Employer contacts (email/phone/telegram) are hidden from the public preview —
send your CV, and we will connect you directly.