Full Stack Engineer
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Full Stack Engineer
60,000–80,000 / Year
Location
Munich
Experience
Mid
Posted
Jul 11, 2026
Apply by
August 10, 2026
Applicants
0
Early applicantEasy applyFull-timeHybrid
Job Description
### About the Role
Join a fast-growing, self-funded AI platform startup based in Munich that is building the infrastructure enabling thousands of users to interact with AI every day. As a Full Stack Engineer, you will be a core contributor to the platform — owning features end-to-end, architecting scalable backend systems, and helping shape how businesses connect their data to AI workflows. This is a hybrid role based in Munich, Germany. Visa sponsorship is not available.
### What You'll Do
- Build and ship high-quality full-stack features using TypeScript and React, with a strong focus on seamless user experience.
- Design and implement robust backend systems capable of handling massive data scale and millions of API requests.
- Take full end-to-end ownership of features — from concept and architecture through deployment and ongoing operation.
- Debug production incidents, identify root causes, and implement durable fixes.
- 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 to enable rapid onboarding of custom integrations.
- Mentor junior engineers and raise the bar through thorough, constructive code reviews.
- Collaborate closely with AI integration and product teams to shape the user experience on the platform.
### What We're Looking For
Must-have:
- 3+ years of professional software engineering experience delivering production full-stack applications using React, TypeScript, and PostgreSQL.
- Proven experience with Kubernetes-based deployment and container orchestration.
- Hands-on experience with Docker and CI/CD pipelines in production environments.
- Strong track record building and scaling backend services for high data volumes and millions of API requests, with a focus on reliability and security.
- Ability to own features completely — from design decisions through debugging live production issues.
Nice to have:
- Experience with Python, tRPC, or similar backend technologies.
- Familiarity with GenAI platforms or LLM integrations (e.g. OpenAI, Anthropic, or similar).
- Experience mentoring junior engineers or leading technical code reviews.
- Comfort working in a fast-paced, high-growth product environment.
### Compensation & Benefits
- Salary: $60,000 – $80,000 per year
- Hybrid work arrangement — primarily based in Munich, Germany
- Work on a core platform with real daily user impact in the AI/ML space
- Small, collaborative team with strong engineering culture and direct influence on product direction
### Location
This is a hybrid position based in Munich, Germany. Candidates must be located in or willing to relocate to Munich. Visa sponsorship is not available for this role.
Key Responsibilities
- Build and ship high-quality full-stack features using TypeScript and React.
- Design and implement robust backend systems capable of handling massive data scale.
- Take full end-to-end ownership of features from concept through deployment.
- Debug production incidents and implement durable fixes.
- Synchronize and index terabytes of client data while managing permissions.
- Operate and optimize systems processing millions of LLM calls per month.
- Architect and scale environments for secure code sandboxes.
- Build foundational infrastructure for rapid onboarding of custom integrations.
- Mentor junior engineers and conduct thorough code reviews.
- Collaborate with AI integration and product teams to shape user experience.
Skills Required
TypeScriptReactPostgreSQLKubernetesDockerCI/CDBackend ServicesAPI DesignOwnershipProblem SolvingCollaborationMentoringPythontRPCGenAI platformsLLM integrationsOpenAIAnthropicAdaptability
Benefits
- Hybrid work arrangement
- Collaborative team environment
- Direct influence on product direction
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