Full-Stack Software Engineer AI Native Startup (mfd)

Youll 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.

Our customers are auditors risk managers and compliance teams which means evaluation rigor auditability and EU AI Act readiness arent afterthoughts for us. Theyre product requirements.

As a Full-Stack Engineer (m/f/d) youll be one of the early full-time engineers working closely with our senior engineers Co-Founders and CTO. Youll ship features across the stack from Spring Boot services to React frontends and grow into broader ownership as the team and product scale.

In the first 612 months you will have:

• Shipped meaningful features end to end from backend APIs to the user-facing React interface
• Clarified and communicated the core domain model using DDD principles
• Introduced/standardized an AI-driven development process from feature specs to production deployment
• Contributed to a healthy test suite and a reliable CI/CD pipeline
• Deployed and operated services on Kubernetes learning our cloud-native infrastructure hands-on

Responsibilities

• Collaborate with the team to find strong solutions to new types of problems in an AI-first architecture
• Embrace a DevOps-style approach across the full specification development delivery lifecycle (inspired by the DevOps Handbook)
• Propose and implement approaches to make delivery faster and more reliable (e.g. improving flow feedback loops and recovery)
• Implement and evolve monitoring/observability across systems (metrics logs traces alerting) so we can detect issues early and learn from production
• Collaborate with the team to develop an AI-driven development process from feature specs down to production deployment
• Plan & document backend architecture in the Arc42 framework
• Extend & communicate the domain model using DDD principles
• Manage and extend application infrastructure on Azure with Pulumi

Absolute must-haves

• You are opinionated and passionate about good code design
• Solid hands-on experience with Claude Code (or comparable AI-assisted development workflows)
• Solid hands-on experience with Java and Spring Boot
• Solid hands-on experience with TypeScript and React
• SOLID principles & clean code
• Design patterns

Nice to haves

• Experience with TDD and/or BDD
• Working knowledge of Kubernetes and cloud-native application development
• Azure or AWS infrastructure-as-code (e.g. Pulumi Terraform Bicep)
• C4 modelling & Arc42 framework
• Experience with Domain Driven Design (DDD)
• Reliable CI/CD pipelines and release processes
• Continuous improvement loops (post-incident reviews operational learning and prioritizing reliability work)

• Hands-on ownership of a real AI product used by enterprise customers
• Work directly alongside the founding team from day one
• 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
• A steep learning curve at the intersection of LLM engineering enterprise GRC and startup operations
• The chance to shape the AI team as we grow

Auxilius .ai is building AI-powered GRC solutions for enterprises. Were early-stage fast-growing and backed by real customers. Our tech stack includes Java & Spring Boot Angular Kubernetes on Azure and OpenAI & Anthropic LLMs.