
QA Engineer – Agentic Memory Testing
Primary stack
Nice to have's
Job description
About the Position
We are seeking a QA Engineer to validate agent memory capabilities within an enterprise AI Agent Platform. The role will focus on ensuring that AI agents reliably retain, retrieve, and manage contextual information across both individual conversations and multiple sessions.
Responsibilities
- Design and execute functional tests for short-term and long-term agent memory.
- Validate in-session context continuity and cross-session memory recall.
- Test memory extraction strategies to ensure that summaries, facts, and preferences are captured correctly.
- Validate memory retrieval to ensure agents retrieve relevant context while filtering irrelevant information.
- Test memory lifecycle behaviors, 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.
- Validate stateful agent behaviors including context retention and personalization.
- Test memory isolation to prevent inappropriate context sharing between users, sessions, or agents.
- Validate user deletion and privacy-related memory workflows.
- Integrate memory testing into broader agent quality and regression suites.
- Collaborate with AI and platform engineers to identify memory-related defects and improve agent reliability.
Requirements
-
Skills:
- Agent memory functional testing - short-term memory (in-session continuity), long-term memory (cross-session recall)
- 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 engineering for AI/ML or conversational AI systems
- Testing stateful agent behaviors (context retention, personalization)
- Functional test automation for API-driven services
- Regression testing methodologies
Nice to Have
- Agent memory framework testing (LangChain, LangGraph)
- Conversational AI evaluation
- AWS AgentCore Memory testing
- GDPR compliance testing (user deletion validation)
We Offer
- Opportunity to work on a cutting-edge AI Agent Platform
- Remote work options
- Collaborative and inclusive work environment
- Professional growth and development opportunities
About the Company
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. 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.
© Intellias. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.
The company develops projects in IoT, Artificial Intelligence, Data Science, UX/UI, Big Data, Cloud, DevOps, and other technologies.
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