About Us There are hundreds of thousands of lawyers across Europe, and at Libra we're transforming how they work. Our AI platform combines deep legal reasoning with cutting-edge generative technology, fundamentally changing how lawyers research, draft, and deliver legal work. We operate with the speed and ownership of a startup, while being backed by the scale and stability of an established leader. Libra is an independent business unit within the Legal & Regulatory division of Wolters Kluwer, a leading global provider of information, software, and services for professionals. For 180 years, Wolters Kluwer has supported and simplified the work of experts and organizations through innovative solutions, relying today on more than 20,000 colleagues worldwide to bring that vision to life. About The Role As an Evals Engineer (m/w/d) at Libra, you'll be the first dedicated hire on a new team that owns how we measure quality: the datasets, rubrics, judges and harnesses that decide whether an AI feature is good enough to ship, and the automated optimization that runs against them. Optimizing a system against a target is newly automatable: LLM optimizers like GEPA now propose and test the candidates themselves. Nobody has to invent the experiments any more, and the system will improve in whatever direction the evals point, whether or not that's where you meant to go. That makes defining what good means the highest-leverage work we do, and it has to be done task by task, from scratch, for a legal AI platform at European scale. You'll work in a lean, agile environment with AI Engineers, Legal Engineers and Product, based at the vibrant Merantix AI Campus in Berlin, surrounded by a community of AI innovators. What you'll do Build and own the eval platform: datasets, judges, harnesses, regression gates, cost and quality in one view, on Python, FastAPI and Langfuse. Make it self-service, so AI Engineers can evaluate and tune their own features without going through you, and eval-driven development becomes the most effective path rather than a tax. Map the quality landscape: good means something different for research, drafting, summarisation and retrieval, and again per jurisdiction. Work out what a defensible measure looks like for each, going first on the ones nobody has evaluated before and then making them repeatable without you. Design the rubrics and set the standard for LLM-as-judge: turn Legal Engineers' and subject-matter experts' judgment into version-controlled criteria, keep judges recalibrated as models and jurisdictions change, and make authoring cheap enough to do at volume on privileged material. Deep-dive results and traces until you can say why something failed, then find the lever that moves it and automate the fix. Unhobble the optimizer: instrument the app so prompts, hyperparameters and harness architecture become levers a search can safely pull, then run automated optimization (GEPA, DSPy) over them against a fitness function you trust, widening that surface as you go. Make cheaper models win: treat quality per euro as a first-class metric, instrumented per call, and find the configuration where a smaller model matches or beats an expensive one. Own guardrails: ungrounded advice, invented or misattributed citations, jurisdiction and language leakage, prompt injection from ingested documents. Design them, red-team them, prove they hold. What you'll bring Education Bachelor's degree or equivalent in a relevant technical field (e.g. Computer Science, Software Engineering, Statistics, Data Science); advanced degree is a plus. Experience Minimum 5 years in software engineering, at least 1 building LLM-powered products in production. Strong Python: FastAPI, modern tooling, and the data stack (pandas, numpy, notebooks), because much of this job is analysis. Hands-on experience designing evaluations: datasets, rubrics, LLM-as-judge, benchmarking, human labelling. Solid security and data-privacy practice. You'll handle traces, documents and datasets derived from privileged legal material. AI coding agents (Claude Code, Codex, Cursor) in your daily workflow. Genuine interest in the legal domain. Bonus: automated prompt or pipeline optimization (GEPA, DSPy or similar), and a broader data science toolkit, e.g. embedding clustering to check dataset coverage. Skills A strong engineer who hasn't hand-written code in months. The architecture is yours, the typing isn't. You ship more working software than you ever did alone, reject code that runs but is shaped wrong, and leave less rework and cognitive debt behind you. You think in systems and expect them to be gamed. The app, the evals, the optimizer and the people using them are one loop. Once evals gate releases, everything optimizes toward them, so some judgments stay human. Hard to fool by a single number. "Could these all be within variance?" comes before any ranking, and a judge's reliability before you trust its grades. You report bounds, and retire a result that doesn't hold up, including your own. You get expertise out of people who have no time to give you any, and build tools they choose to use. An eval nobody runs is worth nothing. Runs on macro-management. You ask the sharp questions up front, then come back with options, their trade-offs and the assumptions behind each, and help pick. Good to think out loud with. Entrepreneurial, accountable, pragmatic. Excellent communication in English. What we offer: Permanent employment from day one. Remote work & flexibility: Work remotely up to 3 days per week (home office) (= 8 days a month in the office) with flexible working hours. Work abroad flexibly: Work from anywhere within the EU for up to 20 days within a twelve-month period. Rest & time off: 30 vacation days starting from 2027 (26 days for 2026). Show your commitment: 1 additional day off per year for your volunteer work (Volunteer Day). Support for development: E-learning via LinkedIn, online language training with goFluent, and other training and development opportunities. Mobility on the go: JobRad leasing for the bicycle or e-bike of your choice. Company pension scheme. Well equipped for working from home: €300 budget for IT equipment Modern on-site working: Attractive office in Berlin. A great start: structured onboarding with a buddy program. #LI-Hybrid Our Interview Practices To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we’re getting to know you—not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process. Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process. If making a difference matters to you, then you matter to us. Join us, at Wolters Kluwer, and be part of a dynamic global technology company that makes a difference every day. We’re innovators with impact. We provide expert software and information solutions that the world’s leading professionals rely on, in the moments that matter most. You’ll make a real difference in the lives of millions of people. Together with our customers, we help to advance sustainability, health, justice, prosperity, and commerce around the world. You can thrive at Wolters Kluwer, where diversity is core to our collective strength and high performance. Be your unique self, share your creative ideas, do your best work, and take time to grow in our caring and inclusive culture where you can belong. Wolters Kluwer reported 2025 annual revenues of €6.1 billion. The group serves customers in over 180 countries, maintains operations in over 40 countries, and employs more than 21,000 people worldwide. Our customers work in industries that impact the lives of millions of people every single day. Our mission is to empower our professional customers with the AI-powered solutions they need to make critical decisions, achieve successful outcomes, and increase productivity. We deliver trusted, AI-powered expert solutions that combine deep domain knowledge, proprietary content, and advanced technology to provide expert-validated insights, automate workflows, and drive better outcomes. Today, nearly 70% of our digital revenues come from AI-powered solutions, reflecting our strategic focus on embedding AI into professional workflows and delivering measurable productivity gains. We are committed to helping professionals navigate complexity, improve the way they work, and solve critical challenges through cloud-based, AI-powered platforms that integrate seamlessly into their workflows and ecosystems. Our solutions are designed to deliver impact when it matters most, especially in high-stakes environments where accuracy and trust are essential. With a nearly 190-year legacy, Wolters Kluwer continues to evolve its portfolio of digital solutions and services to meet the changing needs of professionals worldwide, enabling them to work faster, make smarter decisions, and deliver better outcomes. For more information about our solutions and organization, visit www.wolterskluwer.com, or follow us on LinkedIn, Instagram and Facebook. Wolters Kluwer has a dedicated team of experienced talent acquisition professionals who are ready to hear what makes you tick and share how Wolters Kluwer can help you achieve your goals and ambitions. Here Rasi Fawaz shares some tips on what recruiters are looking for on a resume. As a global organization, we recognize that solving a wide range of complex problems requires diverse perspectives and innovative thinking. We know that bringing our best to our customers, communities, and other key stakeholders requires a highly engaged and talented workforce – one that represents the diversity of those we serve and the communities where we live and work. We aim to provide a welcoming environment and equitable opportunities for all employees regardless of background, nationality, race, ethnicity, gender, gender identity, age, sexual orientation, marital status, disability, or religion. This principle is ingrained in our company values and articulated in our Code of Business Ethics. At Wolters Kluwer, you’ll feel valued for your contributions, and you’ll know that your health, safety, and well-being are important to us. Our well-being benefits provide tools, programs, and resources to help our diverse employees feel healthy, happy, safe, and prosperous. Our global Together we thrive well-being program reflects our commitment to supporting colleagues across physical, mental, social, and financial well-being. That commitment has been recognized externally through Ragan’s Top Places to Work for Employee Wellbeing: Large Organization in 2024. More recently, Wolters Kluwer was recognized by Forbes as one of America’s Best Large Employers 2026 and America’s Best Employers for Engineers 2026. In 2025, Wolters Kluwer was also recognized by Forbes as one of America’s Best Employers for Women. To ensure we continue to drive innovation that enables us to develop products and services to best serve our customers, we cultivate a workplace culture rooted in mutual respect, bringing forward insights from a wide range of backgrounds, perspectives, and experiences. We are also committed to complying with laws requiring equal opportunity in hiring, promotion, and other employment decisions. All qualified applicants will receive consideration without regard to race, color, religion, sex (including pregnancy, gender identity, transgender status, and sexual orientation), national origin, disability, age, genetic information, veteran status, or any other characteristic protected by applicable law, and we do not tolerate discrimination on any of these bases. GDPR Wolters Kluwer (“we” or “us”) wants to inform you about the ways we process your personal information. In this Privacy & Cookie Notice we explain what personal information we collect, use and disclose. You'll find details related to GDPR and other data privacy policies on our Careers Privacy and Cookies page.

Senior AI Evals Engineer (AI Quality & Safety) - Libra-Legal AI Assistant (m/w/d).

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