We are looking for a QA Engineer to validate agent memory capabilities within an enterprise AI Agent Platform being built from the ground up. The role will focus on ensuring that AI agents reliably retain, retrieve, and manage contextual information across both individual conversations and multiple sessions. You will test stateful and personalized agent behaviors , memory extraction and retrieval, lifecycle controls, and regression scenarios to ensure that memory improves agent performance without introducing incorrect or irrelevant context.
About the Client
Our client is a large general 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 standardised 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.
Requirements
- Memory extraction validation — verify Summary and Semantic strategies extract correct facts/preferences
- Memory retrieval testing — validate agents retrieve relevant context, filter irrelevant memories
- Memory lifecycle testing — TTL expiration, user deletion, namespace isolation
- Agent regression testing — verify memory does not degrade agent response quality
- Python test automation for memory workflows

Experience
- 4+ years QA engine

📌 Qa Engineer (La Mancha)
🏢 Intellias
📍 La Mancha