Full Stack Engineer

• Location: Munich Germany (Onsite)
• Work Policy: 100 % on-site 5 days per week (no remote)
• Work Experience: Minimum 2 years relevant experience
• Language Requirement: English C1
• Employment Type: Full-time
• Technical Skills Required: GCP Azure AWS TypeScript Python Docker Terraform
• Industry: AI software for sales process automation (construction/wholesale)
• Positions Available: 2

Company Mission

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.

Core Values

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.

2. Aim high: They pursue ambitious goals with full accountability and perseveranceto achieve what others consider impossible.

3. Win together: Together they achieve more: through trust honest challenge and mutual support they grow as a team and surpass their own limits.

4. Enjoy the ride: Their culture encourages them to be authentic stay curiousand enjoy the journey. Because thats exactly when great work happens.

Tasks

• Core Engineering: Design and build high-performance reliable systems that power AI products and ensure scalability.
• End-to-End Ownership: Own features end-to-end from architecture and implementation to deployment monitoring and iteration.
• Backend & APIs: Develop scalable APIs and backend systems that support evolving AI capabilities and product growth.
• Product Engineering: Work closely with users and the product team to translate real-world workflows into clear product and engineering decisions.
• Rapid Iteration: Ship improvements quickly through fast iteration cycles and pragmatic engineering decisions.
• AI Integration: Contribute to LLM engineering and AI systems collaborating with the team on how models are integrated into the product.
• Technical Architecture: Help shape the overall system architecture deployment strategy and engineering tooling across the stack.

Requirements

• Strong experience with full-stack software engineering (React Typescript Python)
• Proven track record of architecting and building complex production-grade software systems
• Solid know-how in improving system performance reliability and solving scaling challenges in production environments
• Cloud & DevOps expertise: containerization with Docker cloud infrastructure (Azure / AWS / GCP) and infrastructure-as-code with Terraform
• Experience integrating LLMs AI systems or large-scale data pipelines into production software (big plus)
• High agency & ownership able to develop ideas and drive execution with minimal guidance
• Mission-driven mindset; fully committed to achieving ambitious goals amid uncertainty
• Product mindset: You demonstrate product thinking on a deep level and solve problems end-to-end
• Youre excited to iterate quickly and build software in a fast-paced startup environment
• You want to work in-person in Munich with a higher intensity than in a 9-5 job

Benefits

• Learn to build a company: Over five alumni have gone on to found their own companies and raise millions after their time with us. Youll take on real responsibility and gain the hands-on experience only possible in a high-growth startup.
• Guaranteed career advancement opportunities in a rapidly growing team
• An ambitious and caring team that sees their work as more than just a job
• Real shares in our company with the most favorable tax treatment - no VSOP/ESOP
• Free team dinner (up to 4x/week)
• UrbanSportsClub membership and access to a company bike - join our team workouts 3x/week
• Easy relocation to Munich - our office is located in the Werk1 Startup Incubator where you can rent a 1-bedroom apartment right next to the office for just 800/month
• Access to any AI or productivity tools you need

Why Work With Them

• YC pedigree
• Hyper-growth trajectory
• Direct ownership & impact
• Mentorship from Olympiad medalists
• Cutting-edge AI work
• Generous equity
• On-site SF offsite
• Opportunity to build transformational tech for a massive traditional industry

Experience: years
Vacancy: 1