ML-QA Engineer

beroe x nnamu GmbH; Berlin; Vor Ort; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A leading SaaS provider in Berlin seeks an experienced ML-QA Engineer to ensure the quality of their AI-driven applications. The role involves developing automated test frameworks, integrating tests into CI/CD pipelines, and collaborating closely with teams to guarantee software reliability and safety. Key perks include a 4-day work week, competitive compensation, and flexibility in working arrangements. Ideal candidates will have 5+ years of QA Engineering experience, particularly with automation and testing AI-driven applications.

Leistungen

4-Day Work Week

30 Days Paid Vacation

Monthly Benefits Allowance

Qualifikationen

• 5+ years of experience in QA Engineering with a focus on test automation for web and distributed systems.
• Experience testing AI-driven applications with autonomous decision-making.
• Hands-on experience with testing frameworks such as PyTest, Selenium, or Playwright.

Aufgaben

• Design, develop, and maintain automated test frameworks and test scripts using Python.
• Integrate automated tests into CI/CD pipelines to ensure continuous quality.
• Collaborate with developers to identify and resolve defects early.

Kenntnisse

QA Engineering

Test Automation

Python Programming

Testing Frameworks (e.g., PyTest, Selenium)

Problem Solving

Ausbildung

Bachelor's Degree in a relevant field

Tools

Postman

Datadog

GitHub Actions

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 AI-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 & 30 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.

We mean:

• 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.

About us

At Beroe x nnamu GmbH, we are committed to empowering procurement teams to make informed, strategic decisions that drive real impact. By integrating AI and game theory, our Software as a Service (SaaS) platform, nnamu.negotiations, delivers a groundbreaking approach to complex, yet autonomous negotiations.

nnamu.negotiations delivers additional total-value-of-ownership savings efficiently and effectively for buyers with no prior knowledge of game theory required. By combining our world class proprietary AI with an unmatched, unique database of over EUR 400bn actual game theory project data we help clients uncover incremental value in their negotiations, driving outcomes that were previously out of reach.

Beroe x nnamu GmbH is now a Beroe, Inc. group entity. Beroe is a global leader in procurement intelligence. Beroe has been on procurement’s leading edge since the company’s founding in 2006, bringing a world of insights forward. The unique combination of Beroe’s expertise, AI tools, and vast amounts of reliable data enable organizations to make smarter, faster, better procurement decisions. Not tomorrow, not today, but now. Selected by ProcureTech as one of the “most pioneering Analytics, Data and Intelligence solutions in 2024”, Beroe helps thousands of organizations sift through the data noise, mitigate risk, face fewer surprises, and ultimately gain a competitive edge.

With nnamu’s cutting-edge AI and Beroe’s trusted market intelligence, we are unlocking game-changing possibilities for procurement teams worldwide

The Challenge We are Solving
Despite the proven potential of game theory to enhance negotiation outcomes significantly – potentially unlocking an incremental USD 1 Trillion of value – its application in business negotiations remains rare, inconsistent, and hard to scale. This gap presents a vast opportunity but also a challenge that many companies have yet to overcome. Beroe x nnamu GmbH is pioneering the use of AI-powered game theory to make complex negotiation strategies accessible, scalable, and incredibly effective for organizations worldwide.