ML-QA Engineer

Personio; München; Hybrid; EUR 60.000 - 90.000; Vollzeit

Benefits dieser Stelle

4-Day Work Week

Competitive Compensation

Monthly Benefits Allowance

Flexible Work Arrangements

Work Abroad Flexibility

Zusammenfassung

A technology firm in Munich is seeking an experienced ML-QA Engineer to ensure the quality of AI-driven applications. You will design automated test frameworks using Python, collaborate with cross-functional teams, and verify agent behavior under various conditions. The ideal candidate has over 5 years in QA engineering focused on test automation. This role offers a flexible work model, including a 4-day workweek and generous vacation.

Qualifikationen

• 5+ years of QA Engineering experience focused on automation.
• Hands-on with Python for automated test scripts.
• Experience with agentic or AI-driven applications.

Aufgaben

• Design and maintain automated test frameworks using Python.
• Collaborate with teams to identify and resolve defects early.
• Conduct exploratory and chaos testing to validate decisions.

Kenntnisse

Test automation experience

Python programming

Problem-solving skills

Familiarity with REST APIs

Exploratory mindset

Tools

Selenium

Postman

Datadog

Jobbeschreibung

Your tasks

We are looking for a ML-QA Engineer with strong automation experience testing intelligent/agentic applications to join our growing engineering team. You will play a critical role in ensuring the quality and reliability of our platform by developing automated test frameworks, writing robust test cases, and collaborating closely with developers, product owners, and DevOps.

The role goes beyond traditional QA: You will be working with A I-driven, agentic applications that can plan, act, and adapt. Your job will be to make sure they behave correctly, safely, and predictably under real-world conditions.

Key Responsibilities

• Design, develop, and maintain automated test frameworks and test scripts using Python
• Integrate automated tests into CI/CD pipelines to ensure continuous quality and fast feedback
• Collaborate with developers and product managers to identify, reproduce, and resolve defects early in the lifecycle
• Define and document test plans, strategies, and acceptance criteria for both deterministic and agentic features
• Verify observability and explainability of agent behavior (logs, traces, intermediate actions) to ensure compliance, transparency, and auditability
• Perform scenario-based, exploratory, and chaos testing to validate agent decision-making under uncertainty, failure, and edge conditions
• Test human-in-the-loop workflows, ensuring proper escalation, overrides, and user safety
• Conduct root cause analysis of production issues, including agent misbehavior, and contribute to long-term fixes
• Contribute to the development and enforcement of QA standards and best practices

Your profile

Must-Have Qualifications

• 5+ years of experience in QA Engineering with a focus on test automation for web and distributed systems
• Experience testing agentic or AI-driven applications (e.g., autonomous decision-making, multi-step workflows)
• Proficient in Python for developing test scripts, validation tools, and data validation utilities
• Hands‑on experience with testing frameworks such as PyTest, Selenium, or Playwright for end‑to‑end and UI testing.
• Strong understanding of software testing methodologies, including unit, integration, system, and end‑to‑end testing.
• Familiarity with REST APIs and tools like Postman or Swagger for API testing
• Strong problem‑solving skills with the ability to think beyond 'happy path' testing.
• Understanding of data validation pipeline and data pipeline testing, ensuring integrity and reproducibility across datasets
• Experience with scenario‑based or chaos testing frameworks

Nice‑to‑Have Qualifications

• Familiarity with observability and monitoring tools (e.g., Datadog, Grafana, AWS CloudWatch) to validate agent behavior
• Experience testing microservices or serverless architectures on AWS
• Familiarity with CI/CD tools like GitHub Actions, Jenkins, or GitLab CI.
• Knowledge of security and guardrail testing (role‑based access, safe action validation)
• Experience writing performance and load tests for AI interface endpoints using Locust or k6.

Qualities we Value

• Systems thinker: You see how parts connect and anticipate failure points
• Exploratory mindset: Comfortable testing for unknown unknowns
• Domain curiosity: Willingness to deeply understand how the agent is supposed to act in the real world
• Ethical awareness: You care about safety, fairness, and unintended consequences in AI systems
• Collaborative: You work closely with engineers, product, and operations to build trust in our platform

Why us?

At Beroe X nnamu GmbH, we prioritize a balanced work‑life experience.

Here’s what we offer you:

• 4-Day Work Week & up to 24 Days Paid Vacation – More time to recharge
• Competitive Compensation – Fair salary and comprehensive benefits.
• Monthly Benefits Allowance – €40/month in vouchers for fitness and other perks with Probonio
• Flexible Work Arrangements – Work the way that suits you. Professional Development – Access to training and certifications.
• Team Events – Bi‑annual company events and monthly lunch get‑togethers.
• Work Abroad Flexibility – Remote work from the EU or selected non‑EU countries for up to 8 weeks a year with travel insurance coverage

We operate on a hybrid model with offices in Berlin and Munich, offering a 32‑hour, 4‑day workweek.

This Means

• In-Office Collaboration: Work from the office two days a week
• Manage Your Own Hours: Flexibility to work around your needs as long as team goals are met.

Our Culture

We are committed to fostering a collaborative, innovative and inclusive work environment where everyone’s ideas matter. We know that diverse teams lead to better outcomes and welcome applicants from all backgrounds.