<ul> <li>Location: Munich, Germany (Onsite)</li> <li>Work Policy: 100 % on-site, 5 days per week (no remote)</li> <li>Work Experience: Minimum 2 years relevant experience</li> <li>Language Requirement: English C1</li> <li>Employment Type: Full-time</li> <li>Technical Skills Required: GCP, Azure, AWS, TypeScript, Python, Docker, Terraform</li> <li>Industry: AI software for sales process automation (construction/wholesale)</li> <li>Positions Available: 2</li> </ul> <p><strong>Company Mission</strong></p> <p>Their AI helps the companies that build the real world move at software speed. They start with automating one of their biggest hidden bottlenecks: turning messy technical requests into accurate quotes.</p> <p><strong>Core Values</strong></p> <p>1. Customer first: Their customers are at the heart of everything they do. Their success and trust are what drives them —and the standard by which they measure themselves.</p> <p>2. Aim high: They pursue ambitious goals with full accountability and perseverance—to achieve what others consider impossible.</p> <p>3. Win together: Together, they achieve more: through trust, honest challenge, and mutual support, they grow as a team and surpass their own limits.</p> <p>4. Enjoy the ride: Their culture encourages them to be authentic, stay curious—and enjoy the journey. Because that’s exactly when great work happens.</p> <h2>Tasks</h2> <ul> <li>Core Engineering: Design and build high-performance, reliable systems that power AI products and ensure scalability.</li> <li>End-to-End Ownership: Own features end-to-end from architecture and implementation to deployment, monitoring, and iteration.</li> <li>Backend &#x26; APIs: Develop scalable APIs and backend systems that support evolving AI capabilities and product growth.</li> <li>Product Engineering: Work closely with users and the product team to translate real-world workflows into clear product and engineering decisions.</li> <li>Rapid Iteration: Ship improvements quickly through fast iteration cycles and pragmatic engineering decisions.</li> <li>AI Integration: Contribute to LLM engineering and AI systems, collaborating with the team on how models are integrated into the product.</li> <li>Technical Architecture: Help shape the overall system architecture, deployment strategy, and engineering tooling across the stack.</li> </ul> <h2>Requirements</h2> <ul> <li>Strong experience with full-stack software engineering (React, Typescript, Python)</li> <li>Proven track record of architecting and building complex, production-grade software systems</li> <li>Solid know-how in improving system performance, reliability and solving scaling challenges in production environments</li> <li>Cloud &#x26; DevOps expertise: containerization with Docker, cloud infrastructure (Azure / AWS / GCP) and infrastructure-as-code with Terraform</li> <li>Experience integrating LLMs, AI systems or large-scale data pipelines into production software (big plus)</li> <li>High agency &#x26; ownersh