Das erwartet dich

About the Role

We are looking for an experienced Senior Golang Engineer to help us build and scale our AI platform.

This role is highly product-oriented, with a strong focus on rapid iteration, experimentation, and delivering production-ready AI functionality. You will work primarily on building backend services, APIs, and platform capabilities that power AI workflows and tools, while collaborating closely on user-facing applications where needed.

The ideal candidate combines strong backend engineering in Go, solid software architecture skills, and practical experience working with AI systems and LLM-based applications. Frontend experience with React and TypeScript is a plus, but not the core focus of the role.

We are looking for someone who can take ownership of technical initiatives, contribute architectural ideas, and drive projects from concept to production and beyond, while balancing innovation with operational pragmatism.

Your Responsibilities

Design, develop, and maintain backend services and platform components in Go for our AI platform.
Rapidly iterate and deliver new functionality supporting AI-driven products and internal tools.
Build scalable and reliable backend services in Go.
Design and implement APIs and integrations between services and external systems.
Define and design AI solution architectures and drive their implementation together with the engineering team.
Build and orchestrate AI agents and agentic workflows using LLM models and external tools.
Contribute architectural ideas and propose pragmatic technical solutions.
Design systems with clear failure modes and debuggability in mind.
Actively participate in code reviews to maintain high engineering standards.
Collaborate closely with Product Owner to deliver features from concept to production.
Stay up-to-date with the latest developments in AI and integrate emerging technologies when they provide real value.
Support development of frontend applications where needed, in collaboration with the wider team.

Das bringst du mit

5+ years of commercial experience in software engineering.
Strong backend development experience with Go.
Experience developing backend or platform systems in production environments.
Solid understanding of software architecture and system design.
Experience building systems with high scalability, availability, and reliability requirements.
Hands-on experience with observability tools and practices (metrics, logs, tracing, alerting).
Experience working with Docker, Git, and CI/CD pipelines.
Practical experience with AI tools, LLM APIs, or AI-driven workflows.
Ability to effectively use modern AI development tools such as Cursor or Claude.
Proven ability to lead technical initiatives from concept to production.
Strong communication skills and ability to work effectively in a collaborative environment.
High level of ownership and proactive mindset.
Fluent English (minimum B2).

Nice to have

Experience building frontend applications with React and TypeScript.
Experience developing full-stack web applications in production environments.
Experience building AI agents or agent-based workflows.
Experience with RAG architectures or LLM integration pipelines.
Experience with event-driven architectures.
Experience with automated testing strategies for complex systems.
Knowledge of German language.

Our stack

Languages/Frameworks: Go, JS/TypeScript, PHP
Databases: MySQL, MariaDB
Infrastructure: UNIX, Kubernetes, RabbitMQ
Testing: Playwright, Python, Dart, Postman
CI/CD: GitLab CI, Code Magic
Containerization: Docker
AI Tools: JetBrains AI, Cursor, Gemini, Claude
Tools: Jira, Requirements & Test Management for Jira, Confluence, Slack, IDE (freedom of choice), G-Suite, Sentry

Engineering practices

Agile Scrum + XP elements
OOP, TDD, DDD, SOLID, Clean Code
Code reviews, pull requests, automation mindset
QA as part of a cross-functional team

Agile workflow

Tools

Quality assurance

Das bieten wir dir

Benefits & Perks

Private healthcare
Cafeteria system
Training budget €800 per year
Integration meetings (internal training, hackathon, integration trips, and meetings)
Referral Bonus
Startup atmosphere
No dress code
Flexible hours
Flexible working format - remote or hybrid
Modern office, Chillout zone, Standing desk, parking for bicycles, and a cloakroom with showers
Regular office lunches and integration meetings
Some international travels included

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