<div class="show-more-less-html__markup show-more-less-html__markup--clamp-after-5 relative overflow-hidden"> <p>You'll join an early-stage, AI-native startup with a product that has already proven market fit. We build cutting-edge AI solutions for Governance, Risk and Compliance (GRC) for enterprises around the world.</p><br/><p>Our customers are auditors, risk managers, and compliance teams, which means evaluation rigor, auditability, and EU AI Act readiness aren't afterthoughts for us. They're product requirements.</p><br/>Tasks<br/><p>As a <strong>Full-Stack Engineer</strong> (m/f/d), you'll be one of the early full-time engineers, working closely with our senior engineers, Co-Founders and CTO. You'll ship features across the stack — from Spring Boot services to React frontends — and grow into broader ownership as the team and product scale.</p><br/><p>In the first 6–12 months you will have:</p><br/><ul><br/><li>Shipped meaningful features end to end, from backend APIs to the user-facing React interface</li><br/><li>Clarified and communicated the core domain model using <strong>DDD</strong> principles</li><br/><li>Introduced/standardized an <strong>AI-driven development process</strong>, from feature specs to production deployment</li><br/><li>Contributed to a healthy test suite and a reliable CI/CD pipeline</li><br/><li>Deployed and operated services on Kubernetes, learning our cloud-native infrastructure hands-on</li><br/></ul><br/><p><strong>Responsibilities</strong></p><br/><ul><br/><li>Collaborate with the team to find strong solutions to new types of problems in an <strong>AI-first architecture</strong></li><br/><li>Embrace a DevOps-style approach across the full specification → development → delivery lifecycle (inspired by the <em>DevOps Handbook</em>)</li><br/><li>Propose and implement approaches to make delivery <strong>faster and more reliable</strong> (e.g., improving flow, feedback loops, and recovery)</li><br/><li>Implement and evolve monitoring/observability across systems (metrics, logs, traces, alerting) so we can detect issues early and learn from production</li><br/><li>Collaborate with the team to develop an <strong>AI-driven development process</strong> from feature specs down to production deployment</li><br/><li>Plan &amp; document backend architecture in the <strong>Arc42 framework</strong></li><br/><li>Extend &amp; communicate the domain model using <strong>DDD principles</strong></li><br/><li>Manage and extend application infrastructure on <strong>Azure</strong> with <strong>Pulumi</strong></li><br/></ul><br/>Requirements<br/><p><strong>Absolute must-haves</strong></p><br/><ul><br/><li>You are opinionated and passionate about good code design</li><br/><li>Solid, hands-on experience with Claude Code (or comparable AI-assisted development workflows)</li><br/><li>Solid, hands-on experience with <strong>Java</strong> and <strong>Spring Boot</strong></li><br/><li>Solid, hands-on experience with <strong>TypeScript</strong> and <strong>React</strong></li><br/><li><strong>SOLID principles</strong> &amp; clean code</li><br/><li><strong>Design patterns</strong></li><br/></ul><br/><p><strong>Nice to haves</strong></p><br/><ul><br/><li>Experience with <strong>TDD</strong> and/or <strong>BDD</strong></li><br/><li>Working knowledge of <strong>Kubernetes</strong> and <strong>cloud-native</strong> application development</li><br/><li>Azure or AWS infrastructure-as-code (e.g. Pulumi, Terraform, Bicep)</li><br/><li><strong>C4 modelling &amp; Arc42 framework</strong></li><br/><li>Experience with <strong>Domain Driven Design (DDD)</strong></li><br/><li>Reliable CI/CD pipelines and release processes</li><br/><li>Continuous improvement loops (post-incident reviews, operational learning, and prioritizing reliability work)</li><br/></ul><br/>Benefits<br/><ul><br/><li>Hands-on ownership of a real AI product used by enterprise customers</li><br/><li>Work directly alongside the founding team from day one</li><br/><li>Hybrid work model: Munich North, minimum one day per week in the office, otherwise flexible (open to strong candidates elsewhere in the EU for the right fit); onboarding will take place in-office</li><br/><li>A steep learning curve at the intersection of LLM engineering, enterprise GRC, and startup operations</li><br/><li>The chance to shape the AI team as we grow</li><br/></ul><br/><p>Auxilius .ai is building AI-powered GRC solutions for enterprises. We're early-stage, fast-growing, and backed by real customers. Our tech stack includes Java &amp; Spring Boot, Angular, Kubernetes on Azure, and OpenAI &amp; Anthropic LLMs.</p> </div>