Full Stack Engineer
Worldwide Placement Limited- 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 & ownersh
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