02 oct
|
Intellias
|
La Mancha
02 oct
Intellias
La Mancha
We are looking for a QA Engineer to validate agent memory capabilities within an enterprise AI Agent Platform being built from the ground up. 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. 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 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. 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 4+ years QA engineering for AI/ML or conversational AI systems ~ Testing stateful agent behaviours (context retention, personalization) ~ Functional test automation for API-driven services ~ Regression testing methodologies Agent memory framework testing (LangChain, LangGraph) AWS AgentCore Memory testing Design and execute functional tests for short-term and long-term agent memory . Test memory extraction strategies to ensure that summaries, facts, and preferences are captured correctly .
Test memory lifecycle behaviours , including TTL expiration, deletion, and namespace isolation.
Develop
Python-based automated tests for agent memory workflows and API-driven services. Perform regression testing to ensure memory changes do not negatively affect agent response quality. Test memory isolation to prevent inappropriate context sharing between users, sessions, or agents. Integrate memory testing into broader agent quality and regression suites .
📌 Qa Engineer - Agentic Memory Testing (La Mancha)
🏢 Intellias
📍 La Mancha