Full-Stack Software Engineer - AI Native Startup (m/f/d)

Auxilius.ai · Munichjunior

In short

▸Desarrollador full-stack en startup de IA enfocada en cumplimiento empresarial (GRC).
▸Trabajas desde el inicio en toda la pila: backend en Java/Spring Boot, frontend en React y despliegue en Kubernetes.
▸Se valora fuertemente el uso práctico de IA en desarrollo (como Claude Code) y diseño de arquitectura con DDD y Arc42.

Fluency in English is required for collaboration with international teams.

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What they ask for

✓Experiencia sólida con Java y Spring Boot
✓Experiencia sólida con TypeScript y React
✓Habilidades prácticas con herramientas de desarrollo asistido por IA (ej. Claude Code)
✓Dominio de principios SOLID y diseño limpio
✓Compromiso con buenas prácticas de código y arquitectura
✓Capacidad para trabajar en equipo con enfoque DevOps y CI/CD

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JavaSpring BootTypeScriptReactKubernetesAzurePulumiOpenAIAnthropicArc42

Who should you write to at Auxilius.ai?

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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. 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. Tasks As a Full-Stack Engineer (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. 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 g. 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 & Spring Boot, Angular, Kubernetes on Azure, and OpenAI & Anthropic LLMs.

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