XM is seeking a Senior AI QA Test Automation Engineer to take a leading technical role in AI quality and test automation. You will work primarily with our AWS Bedrock AgentCore-based CX Agent Suite, designing and building the evaluation and QA tooling required to validate AI agents reliably while contributing to technical standards across the organization.
Key responsibilities
- Act as the primary technical enabler for QA, building scalable AI/ML frameworks and tooling for the CX Agent Suite.
- Design and build AI evaluation pipelines that assess multi-agent responses for accuracy, relevance, tone, and safety compliance.
- Evaluate and prototype agent-orchestration frameworks for building self-evolving, autonomous QA agents.
- Collaborate with Data Science and Engineering to integrate AI-driven testing into GitLab CI/CD pipelines.
- Develop data-driven quality analytics and lead research into emerging AI testing methodologies.
Requirements
- BSc/MSc in Computer Science, AI, or a related discipline.
- 6+ years of experience in QA/Test Automation with a focus on designing automation frameworks.
- 1+ years of experience applying AI/ML in software testing with a track record of production implementation.
- Strong Python skills and experience in AWS-centric environments.
- Hands-on experience with LLM evaluation techniques, RAG, and multi-agent orchestration patterns.
- Familiarity with containerized cloud-native environments such as Docker and Kubernetes/EKS.
What we offer
- Attractive remuneration package.
- Intellectually stimulating work environment.
- Continuous personal development and international training opportunities.