About the role
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 perseverance—to 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 curious—and enjoy the journey. Because that’s 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
You’re 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. You’ll 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
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