AI Audit Engineer (Wirtschaftsprüfung) (m/f/d)

Sumup

TEAM DESCRIPTION The Risk AI Engineering Squad is a cross-functional team within the Risk & Compliance tribe,  responsible for developing cutting-edge data products and ML solutions that power Transaction Monitoring and protect our merchant base from Money Laundering and Financial Crime. We combine automation, AI, and engineering excellence to build innovative products that empower Risk and AML teams to work smarter, faster, and more efficiently. The Senior Data Scientist role is critical to advancing our transaction monitoring capabilities through machine learning, feature engineering, and scalable model pipelines. You will work across the full model lifecycle — from typology understanding and data exploration to feature development, training, validation, deployment, and monitoring — helping ensure our Risk and AML controls remain effective, auditable, and compliant across products and markets. We actively welcome applications from women and people from underrepresented backgrounds. Diverse perspectives make our team stronger and our systems more robust. If you're motivated by technical depth, real-world impact, and the challenge of making ML work reliably in a high-stakes environment, this role is built for you. Join us to shape the future of financial safety and make a lasting impact! WHAT YOU'LL DO * Build and ship production ML systems end to end: own and evolve end-to-end batch training pipelines, model versioning, monitoring, model deployment, and rollback for transaction monitoring models. * Build, maintain, and improve ML models for transaction monitoring, focusing on detection quality, operational efficiency, and regulatory compliance * Engineer features mapped to AML and Fraud typologies and suspicious behaviours, working closely with Risk investigators to translate domain knowledge into alerting logic and threshold calibration * Run sensitivity tests on synthetic datasets, produce ML governance artefacts such as model cards, and deliver audit-ready documentation to meet regulatory expectations * Own and evolve the AML Risk Score by analysing driver contributions, monitoring drift, running back-testing, and recommending improvements to features, logic, and thresholds * Partner with AML and Fraud Operations, Product, and Engineering to translate stakeholder needs into actionable, scalable data science solutions * Track and improve detection performance metrics, adapt solutions to regional compliance requirements, and contribute to system design documentation YOU'LL BE GREAT FOR THIS ROLE IF YOU HAVE… MUST HAVE * Production Python engineering: you write code that ships — you're comfortable with CI/CD, automated testing, versioning, and monitoring in a real production environment * End-to-end ML pipeline experience: demonstrated experience deploying and operating ML models in production, including drift monitoring and rollback * Modelling and productionalizing models: demonstrated experience training ML models, choosing appropriate KPIs and metrics for evaluation. * Data engineering fundamentals: hands-on experience with complex, multi-source data ecosystems, data quality, and lineage * Clear, confident communication: ability to align cross-functional stakeholders, set expectations, and turn ambiguous compliance requirements into a concrete technical plan NICE TO HAVE * Experience with Pyspark * Experience in AML, fraud detection, or financial crime domains * Unsupervised machine learning (e.g. anomaly detection, clustering) * Familiarity with Feature Stores and alerting threshold calibration * Experience producing regulatory ML governance artefacts (model cards, audit documentation) * Experience with AI systems and tooling WHY YOU SHOULD JOIN SUMUP * 🌎 Opportunity to work with SumUppers globally on large-scale fintech products used by millions of businesses worldwide, from our Berlin office. This involves an office-first setup * 🌈 Commitment to Diversity and Inclusion: be part of a workplace that values and promotes diversity, fostering an inclusive environment where everyone's perspectives are respected and embraced * 🚀 Enrolment onto our Virtual Stock Option programme: you will own a stake in SumUp's future success * 📚 A dedicated annual L&D budget of €2,000 for your individual development, which can be used to attend conferences and/or advance your career through further education * 💶 A corporate pension scheme where we match up to 20% of your contributions * 🏖️ Generous time off: enjoy 28 days of paid leave plus public holidays and special leave days * 💪 Numerous other benefits such as Urban Sports Club subsidy, Kita placement assistance, and subsidised office lunches * 🌴 Break4me: 1-month sabbatical after 3 years of service * 🔗 Referral Bonus: earn additional rewards by referring talented individuals to join the SumUp team ABOUT SUMUP Be empowered to do more that matters. At SumUp, we're on a mission to empower small businesses across the globe by providing simple and affordable tools that allow them to thrive. Today, over 4 million businesses in 37 markets rely on SumUp as their financial partner to manage payments, finance and customer relationships. Our commitment to small businesses is reflected in our diverse team of over 3,000 SumUppers from over 90 nationalities, united by global collaboration and an innovative mindset. Our core values lay the foundation for who we are and what we stand for, shaping our work culture and driving our success. We foster inclusivity and a continuous learning culture, providing a safe space for personal and professional growth. Our differences make us unique and strong as we strive to create an environment where everyone belongs and feels supported, no matter how they identify. SumUp is proud to be an Equal Employment Opportunity employer, actively seeking and embracing diversity in our workforce. We don't make hiring or employment decisions based on race, colour, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age or any other basis protected by applicable laws or prohibited by company policy. Our commitment extends beyond recruitment to creating a safe and respectful workplace where harassment of any form is strictly prohibited. Discover more about our culture and opportunities on our careers website, and follow our journey on LinkedIn, Instagram, and TikTok. Job Application Tip We recognise that candidates feel they need to meet 100% of the job criteria in order to apply for a job. Please note that this is only a guide. If you don’t tick every box, it’s ok too because it means you have room to learn and develop your career at SumUp.

Cortea

ABOUT US We’re Cortea, a Berlin startup transforming audits with AI. Manual, document-heavy audits waste expert time while demand keeps rising. Our AI-powered software and specialized AI agents remove the repetitive work so auditors can focus on judgment. Backed by top-tier VCs with >15m funding, with a working product and paying customers, we’re rapidly scaling. We value first-principles thinking, speed, trust, and kindness. We build side by side in our Berlin office. YOUR ROLE We are looking for an Engineer with strong data engineering and AI systems experience to build the data, evaluation, and observability foundation for production-grade LLM agents used in complex audit workflows. This role sits at the intersection of backend engineering, data engineering, AI infrastructure, and LLM operations. You will work hands-on in our backend and agent architecture, building the systems that help us evaluate, monitor, debug, optimize, and continuously improve AI agents in production. This is not a traditional analytics, BI, or dashboarding role. You should expect to write production code, design infrastructure, work inside backend systems, and directly improve the quality, cost, reliability, and performance of LLM-based agents. WHAT YOU’LL DO You will help building and operating the technical infrastructure around our AI agents, with a focus on data infrastructure, evaluation, observability, and optimization. Your work will include: * Building online and offline evaluation systems for LLM agents, including pipelines that use golden datasets, ground-truth data, human review workflows, and experiment results. * Creating automated quality gates so changes to prompts, context, models, or agent logic can be tested before reaching production. * Analyzing large volumes of agent traces and executions to identify failure modes, quality regressions, latency issues, reliability gaps, and cost optimization opportunities. * Working with columnar data stores and analytical databases such as BigQuery, ClickHouse, or similar technologies. * Building reliable data retention and replay mechanisms for long-term analysis of production agent behaviour. * Creating observability tooling for trace analysis, experiment monitoring, production dashboards, logging, tracing, and debugging. * Working inside our core backend and agent architecture, including building new agents or improving existing agents when needed. QUALIFICATIONS You will fit into this role if you: * Have strong Python and/or backend engineering experience. * Have strong SQL skills and are comfortable working with large datasets. * Have deployed and operated systems in the cloud, ideally on GCP. * Have practical experience designing data pipelines, ETL/ELT workflows, event-processing systems, or feedback loops for production data. * Are comfortable working with analytical databases, data warehouses, columnar stores, and high-volume event or trace data. * Understand system design, reliability, observability, monitoring, logging, debugging, and operational trade-offs. * Can work in complex existing systems and quickly build a mental model of how they operate. * Bring senior-level engineering judgment: you can make architectural decisions, communicate trade-offs, and build systems that other engineers can extend. * Are comfortable with ambiguity, able to reason from first principles, and excited to build infrastructure for AI systems that are actively used in production. Nice-to-haves that are a plus: * Building infrastructure around LLM-based products or agentic systems, including optimizing LLM usage, context windows, reasoning tokens, or model selection. * Working with production traces from complex distributed systems. * Building internal platforms for engineers, domain experts, or operations teams. * Using workflow orchestration systems such as Temporal or similar. * Familiarity with audit, finance, compliance, or other high-accuracy domains. * Experience in an early-stage startup or fast-moving engineering environment. No one checks every box. If you’ve shipped retrieval systems and like owning evaluations and pipelines, let’s talk. WHAT WE OFFER * High impact & growth: Shape strategy at a scaling AI startup from day one * Mission-driven culture: Ambitious team valuing first-principles thinking and bold ideas * Attractive compensation: competitive salary plus significant equity * Personal development: Learning budget for courses and conferences * Startup perks: Flexible vacation, team lunches, retreats, central Berlin office INTERVIEW PROCESS * First Call — Intro to Cortea with our Talent Partner Adriana * Second Call — Technical interview with Jendrik * Third Call — Deep dive into our culture with our Co-Founder Philipp * On-site Day (Berlin) — Meet the team and work on a real problem together We’re an equal-opportunity team and encourage women and underrepresented groups to apply.

Cortea

ABOUT US We’re Cortea, a Berlin startup transforming audits with AI. Manual, document-heavy audits waste expert time while demand keeps rising. Our AI-powered software and specialized AI agents remove the repetitive work so auditors can focus on judgment. Backed by top-tier VCs with >15m funding, with a working product and paying customers, we’re rapidly scaling. We value first-principles thinking, speed, trust, and kindness. We build side by side in our Berlin office. YOUR ROLE We're looking for an experienced engineer who's happy anywhere in the stack and turns complex audit workflows into product auditors rely on every day. You pick up whatever a problem needs, from the data model to the interface to the agents behind it. A lot of what we build has no reference implementation. You're comfortable wading into something nobody has solved yet and shipping a first version that actually works. Our engineering team is a small, flat group of builders: strong ICs who open a laptop when they see a problem instead of scheduling a meeting. Everyone owns real product and architecture decisions, and that's exactly what we want more of. WHAT YOU'LL DO * Build the interfaces auditors work in, partnering with design to turn complex flows into something that feels effortless * Build and improve the agents at the core of the product, plus the harnesses and eval pipelines around them * Make the long-running workflows behind the product reliable and debuggable, so failures surface fast instead of silently * Use AI heavily in your own workflow to move faster, without ever shipping output you can't stand behind * Drive the how in RFCs and technical discussions with other engineers, and partner with product on the what QUALIFICATIONS You'll fit here if you: * Have 5+ years shipping production web applications across the stack * Write production APIs and model the data behind them so it holds up under multi-tenancy and load * Are strong on the frontend and can build genuinely complex UI * Get how LLM agents actually work: agents, harnesses, tool use, and measuring quality with evals * Keep up with where AI is moving and bring the latest tools into how you work to make yourself faster * Bring a strong product mindset and real ownership of outcomes * Make architectural decisions, weigh trade-offs, and build things other engineers can extend * Are comfortable with ambiguity and work things out from fundamentals when there's no established answer Nice-to-haves that are a plus: * Hands-on experience building agents, harnesses, or eval pipelines * Data-dense or workflow-heavy B2B products * Scaling multi-tenant systems as data and traffic grow * Audit, finance, compliance, or another domain where being wrong is expensive * Early-stage startup or fast-moving engineering environment No one checks every box. If you ship across frontend, backend, and data and own what you build, let's talk. OUR TECH * React, TS, Tailwind, TanStack * Python, Postgres, Temporal, Kafka, Redis * GCP, Azure, k8s * GitHub, Linear, Slack, Notion WHAT WE OFFER * High impact & growth: Front-row seat to scaling an AI startup with real ownership from day one * Mission-driven culture: First-principles thinking, bold ideas, and a supportive team * Attractive compensation: competitive salary + meaningful equity * Personal development: Learning budget for courses and conferences * True Berlin startup environment: Central Berlin office, team lunches, retreats, flexible vacation INTERVIEW PROCESS * First Call — Intro to Cortea with our Founders Associate Liza * Second Call — Technical interview with our Member of Technical Staff Jendrik * Third Call — Deep dive into our culture with our Co-Founder Philipp * On-site Half-Day (Berlin) — Meet the team and work on a real problem together