Full-Stack Software Engineer (min 3 years exp) - AI Native Startup (m/f/d)

Auxilius; München; Hybrid; EUR 70,000 - 110,000; Full time

Job summary

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 & Spring Boot, Angular, Kubernetes on Azure, and OpenAI & Anthropic LLMs.

As a Full-Stack Engineer (m/f/d), you will join as an early full-time engineer, shipping features across the stack from backend Spring Boot services to React frontends, and growing into broader ownership as the team scales.

Qualifications

• Minimum 3 years of full-time experience.
• You are opinionated and passionate about good code design.
• Hands-on with Claude Code or comparable AI-assisted workflows.
• Hands-on with Java and Spring Boot.
• Hands-on with TypeScript and React.
• Design patterns understood.

Responsibilities

• Collaborate to solve problems in an AI-first architecture.
• Adopt a DevOps-style lifecycle across design to delivery.
• Introduce faster, more reliable delivery approaches.
• Develop monitoring/observability across systems.
• Collaborate on AI-driven development from specs to deployment.
• Plan and document backend architecture in Arc42.
• Extend domain model using DDD principles.
• Manage Azure infrastructure with Pulumi.

Skills

Java

Spring Boot

TypeScript

React

Design patterns

DDD

Tools

Kubernetes

Azure

Pulumi

Angular

Job description

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.

In the first 6–12 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 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

Requirements

Absolute must-haves

• Minimum 3 years of full-time experience
• 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
• Design patterns

Nice to haves

• Experience with TDD and/or BDD
• Working knowledge of Kubernetes and cloud-native application development
• 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. 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.