We are looking for a QA Engineer specializing in Agentic Gateway Testing to ensure the reliability, security, performance, and observability of agentic workflows and tool integrations. The role focuses on testing MCP-based interactions, multi-step agent workflows, authorization controls, performance characteristics, and end-to-end traceability across an enterprise agentic platform.
About the Client
Our client is a large global enterprise operating across multiple markets, with a complex technology landscape and a strong focus on digital transformation and innovation. The organization is actively investing in modern cloud, data, and AI capabilities to enable scalable, secure, and highly automated solutions across its business.
About the Project
The project is focused on building an enterprise-grade AI Agent Platform from the ground up. The platform will provide a standardized foundation for developing, deploying, orchestrating, securing, and observing AI agents across multiple teams and use cases.
The initiative covers the full agent lifecycle and brings together agent orchestration, observability, security, governance, integrations, evaluation, and platform engineering. Engineers joining the project will have an opportunity to influence key architectural and technical decisions and contribute to a new platform rather than maintaining an existing solution.
Skills:
• Agentic workflow testing — agent tool discovery, tool invocation, multi-step agent workflows
• MCP protocol testing — tool list aggregation, tool call routing, streaming response handling
• Agent authorization testing — unauthorized tool access attempts, policy enforcement validation
• Agent performance testing — tool discovery latency, concurrent agent sessions, agent-to-agent latency
• Python test automation — pytest with async, mock MCP servers, agent workflow simulation
• Agentic observability validation — trace completeness, agent step logging, audit trail verification
Experience:
• 4+ years QA engineering for AI/ML or agent systems
• Tested LLM agent workflows (tool calling, multi-step reasoning)
• Security testing for authorization and authentication
• Performance benchmarking for cloud services
Nice to have:
• MCP protocol testing experience
• Agent framework testing (LangChain, LangGraph, Crew)
• AWS Bedrock Agents testing
• Chaos engineering for agentic systems
• Audit log validation (CloudTrail, OpenTelemetry traces)
At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth.
We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law.
We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.