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

Meyandy LLC; München; Vor Ort; EUR 65.000 - 90.000; Vollzeit

Benefits dieser Stelle

Hands-on ownership of a real AI产品

Hybrid work model

Zusammenfassung

Auxilius.ai seeks an experienced software engineer to help build AI-powered GRC solutions. You will ship features end-to-end, from backend APIs to a React frontend, while defining domain models with DDD and maintaining a strong emphasis on testability and reliability.

HYBRID WORK model with Munich North base; candidates from the EU are welcome. You’ll work on an AI-driven development process, contribute to a robust CI/CD pipeline, and collaborate closely with the founding team from day one.

Qualifikationen

• Hands-on experience with Java and Spring Boot
• Solid, hands-on experience with TypeScript and React
• Knowledge of SOLID principles and clean code
• Experience with design patterns
• Familiarity with Kubernetes and cloud-native development
• Experience with AI-assisted development workflows (Claude Code)

Aufgaben

• Collaborate to find strong solutions in an AI-first architecture
• Adopt a DevOps-style lifecycle from spec to production
• Improve delivery speed and reliability with process improvements
• Develop monitoring/observability across systems (metrics, logs, traces)
• Plan and document backend architecture in Arc42 framework
• Manage infrastructure on Azure using Pulumi

Kenntnisse

Java & Spring Boot

TypeScript & React

Claude Code

SOLID & clean code

Design patterns

Kubernetes

Azure

Pulumi

Cloud-native

DDD

Tools

Kubernetes

Pulumi

Azure

Terraform

Bicep

Jobbeschreibung

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

• 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

Requirements

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)

Benefits

• 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.