SIXT
mobility service provider
AIQAEngineer(m/f/d)
Neural analysis suggests this role is
optimal for mid candidates.
“AI QA Engineer (m/f/d) at SIXT. Skills: AI QA, LLM testing, conversational AI, Python, REST API testing, LLMOps. 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)”
What You'll Achieve.
ensure that SIXT’s virtual agents and Generative-AI–powered workflows deliver reliable, safe, and delightful support across all customer service channels; automatically detect regressions
Industry & Context.
analytical skills
What They're Looking For.
Must Have
2/ 3 years of experience in software QA / test engineering, understanding of testing principles: functional, regression, integration, performance, Hands-on experience testing AI or ML systems such as LLM chatbots or recommendation engines, Scripting skills in Python, experience with REST API testing, Understanding of LLMOps / MLOps: versioning, monitoring, rollback strategies, Experience or interest in customer service processes and KPIs, Excellent analytical, documentation, and communication skills
Nice to Have
Fluency in German or additional languages a plus, Familiarity with key concepts of multi-agentic systems, agentic frameworks (e. g. , LangChain), AWS AgentCore
What You'll Do.
Design and execute end-to-end test plans for customer service virtual agents (voice
Build and maintain agentic AI test suites validating autonomous workflows (e. g.
Define and monitor AI quality metrics such as resolution rate
and safety violations
Develop test data and synthetic scenarios for edge cases
and multilingual requests
Evaluate agent behavior through reasoning traces
Implement and improve automated testing frameworks for conversational flows
Contribute to LLMOps / CI/CD pipelines to automatically detect regressions
and safety testing in line with SIXT policies and regulatory expectations
and insights clearly for stakeholders
How You'll Work.
Team & Collaboration
Collaborate with cross-functional teams to refine requirements and acceptance criteria
Communication Scope
Excellent analytical, documentation, and communication skills
Full Job Description
As a 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 2/ 3 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 pro
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