### About the Role Join a small, product-focused team at a

bootstrapped AI platform and consulting studio

based in Munich, Germany. You'll be a core contributor to the platform that enables thousands of users to interact with AI every day — building high-quality full-stack features and the scalable backend systems that power them. From synchronizing large client datasets and running massive LLM workloads to architecting secure sandboxed environments, you'll own meaningful, high-impact work end to end. This is a

hybrid

role based in Munich. ###

What You'll Do

• -
• Build and ship high-quality full-stack features using

TypeScript

and

React

• , focused on a seamless user experience.
• - Design and implement robust backend systems capable of handling massive data scale and millions of API requests.
• - Take full ownership of features from concept and deployment through to production operation, ensuring reliability and security.
• - Debug production incidents, identify root causes, and implement lasting solutions.
• - Mentor junior engineers and elevate the codebase through thorough, constructive code reviews.
• - Synchronize and index terabytes of client data while managing fine-grained permissions.
• - Operate and optimize systems that process millions of LLM calls per month with high reliability.
• - Architect and scale environments that spawn thousands of secure code sandboxes per day.
• - Build foundational infrastructure that enables rapid onboarding of custom integrations.
• - Shape how users interact with the platform by working across the core stack and AI integrations. ### What We're Looking For

Must-haves

• 3+ years of professional software engineering experience delivering full-stack features with

React

,

TypeScript

, and

PostgreSQL

• .
• - Proven experience with

Kubernetes

• -based deployment and container orchestration.
• - Hands-on experience building and running production-grade backend services at scale — high data volumes, millions of API requests, with a focus on reliability and security.
• - Comfortable working in

Dockerized

environments with robust

CI/CD pipelines

• .
• - End-to-end product ownership mindset: from concept through deployment to live operation.
• - Strong debugging skills and experience resolving production incidents.

Nice-to-haves

• -
• Experience with backend technologies such as

Python

or

tRPC

• .
• - Experience working with GenAI platforms or LLM integrations.
• - Track record of mentoring junior engineers and leading code reviews.
• - Familiarity with high-throughput distributed services.

You'll thrive here if you

• Care deeply about user experience and long-term product quality.
• Learn quickly and enjoy operating in a fast-paced, high-growth environment.
• Take pride in production ownership and have a strong instinct for reliability and security. ### Compensation & Benefits -

Salary

• €60,000 – €80,000 per year, depending on experience.
• - Agile, collaborative team culture with a strong emphasis on engineering quality.
• - Direct impact on a platform used by thousands of users daily.
• - Work at the intersection of AI and enterprise software in a growing market. *Please note: visa sponsorship is not available for this role.* ### Location This is a

hybrid

position based in

Munich, Germany

. Candidates should be located in or willing to relocate to Munich. Remote-only arrangements are not supported.