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Agentic AI QA Engineer (m/f/d)

Posted 22 hours ago

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Job Description

Company Description

 

    Job Description

    As a Customer Service Agentic AI QA Engineer (m/f/d), you ensure that SIXT’s virtual agents and Generative-AI–powered workflows deliver reliable, safe, and delightful support across all customer service channels. You design and run intelligent test strategies for LLM- and agent-based systems, combining classic QA skills with a deep understanding of agentic automation, conversational AI, and customer service KPIs. 

    YOUR ROLE AT SIXT

    • Design and execute end-to-end test plans for customer service virtual agents (voice, chat, email). Build and maintain agentic AI test suites validating autonomous workflows (e.g., booking changes, billing, damages).
    • Define and monitor AI quality metrics such as resolution rate, deflection, CSAT, and safety violations. Develop test data and synthetic scenarios for edge cases, ambiguous queries, and multilingual requests.
    • Evaluate agent behavior through reasoning traces, tool-use decisions, and memory usage.
    • Implement and improve automated testing frameworks for conversational flows, APIs, and integrations. Contribute to LLMOps / CI/CD pipelines to automatically detect regressions.
    • Perform bias, fairness, and safety testing in line with SIXT policies and regulatory expectations. Collaborate with cross-functional teams to refine requirements and acceptance criteria.
    • Document defects, test results, and insights clearly for stakeholders.

    YOUR SKILLS MATTER

    • Foundations Several years of experience in software QA / test engineering. Strong understanding of testing principles: functional, regression, integration, performance.
    • AI Testing Hands-on experience testing AI or ML systems such as LLM chatbots or recommendation engines. Familiarity with key concepts of multi-agentic systems, agentic frameworks (e.g., LangChain), AWS AgentCore.
    • Automation Scripting skills in Python and experience with REST API testing.
    • LLMOps: Understanding of LLMOps / MLOps: versioning, monitoring, rollback strategies.
    • Customer Focus Experience or interest in customer service processes and KPIs.
    • Communication Excellent analytical, documentation, and communication skills. Fluency in English; German or additional languages a plus.

    WHAT WE OFFER

    • Generous Time Off Enjoy 28 days of vacation, an additional day off for your birthday, and 1 volunteer day per year
    • Work-Life Balance & Flexibility Benefit from a hybrid working model, flexible working hours, and no dress code
    • Great Employee Benefits Access discounts on SIXT rent, share, ride, and SIXT+, along with partner discounts
    • Training & Development Participate in training programs, external conferences, and internal dev & tech talks designed for your personal growth and development
    • Health & Well-being Private health insurance to support your well-being
    • Additional Perks Enjoy the Coverflex advantage system to enhance your employee experience

    Additional Information

    About us:

    We are a globally leading mobility service provider with a revenue of €4.00 billion and around 9,000 employees worldwide. Our mobility platform ONE combines our products SIXT rent (car rental), SIXT share (car sharing), SIXT ride (taxi, ride, and chauffeur services), and SIXT+ (car subscription), giving our customers access to our fleet of 350,000 vehicles, the services of 4,000 cooperation partners, and around 5 million drivers worldwide. Together with our franchise partners, we are present in more than 110 countries at 2,000 rental stations. At SIXT, top-tier customer experience and outstanding customer service are our highest priorities. We believe in true entrepreneurship and long-term stability and align our corporate strategy with foresight. Get started with us and apply now!

    Please mention that you found this job on MoAIJobs, this helps us grow. Thank you!

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    About the job

    Posted on

    Feb 13, 2026

    Apply before

    Mar 15, 2026

    Job typeFull-time
    CategoryLLM
    Location
    Lisbon, Portugal
    Skills
    pythonLangchainLLMmlops

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