
About this role
This is a leadership role for a Staff Engineer at a Y Combinator-backed AI startup focused on automating back-office workflows. The engineer will serve as the hands-on technical backbone, leading architectural decisions, building core systems, and writing high-impact full-stack code in Python, React, and TypeScript. Responsibilities include implementing AI applications, LLMs, and data pipelines, while managing infrastructure with Docker, Terraform, and cloud providers like AWS, GCP, or Azure. The role involves mentoring engineers and scaling robust infrastructure in a fast-paced, on-site environment in Munich.
Skills & technologies
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On behalf of our client—a fast-growing, Y Combinator-backed AI startup automating back-office workflows - we are currently seeking a Staff Engineer (f/m/d).
In this key leadership role, you will serve as the hands-on technical backbone of the engineering team. You will lead complex cross-product architectural decisions, build critical core systems, and spend the majority of your time writing high-impact code. Additionally, you will mentor talented engineers and scale robust infrastructure alongside cutting-edge AI capabilities.
We are looking for an exceptional technical leader with over 8 years of software development experience, deep full-stack expertise, a proven track record of designing scalable systems in production, and the drive to work intensively on-site in Munich.
| WHAT YOU WILL DO
- Drive sophisticated architectural strategies across multiple products and act as the core technical anchor for the engineering team.
- Design, construct, and scale essential foundational systems and shared infrastructure utilized by various main products.
- Dedicate most of your day-to-day work to writing critical, high-quality full-stack code in Python, React, and TypeScript.
- Implement and launch state-of-the-art AI applications, LLMs, and high-volume data pipelines.
- Optimize system efficiency, guarantee high availability, and oversee the scaling of large-scale, live applications.
- Own the complete technical lifecycle of infrastructure and deployment processes utilizing Docker, Terraform, and major cloud providers (AWS, GCP, or Azure).
- Guide and develop highly skilled software developers, serving as a catalyst for excellence by defining superior engineering standards.
- Strike the perfect balance between quick delivery cycles and architectural precision, making swift technical decisions in a dynamic startup setting.
- At least 8 years of hands-on software development experience resolving intricate technical obstacles in real-world production settings.
- Well-rounded full-stack proficiency with a deep emphasis on backend design, API development, and contemporary frontends (Python, React, TypeScript).
- Demonstrated background in Cloud/DevOps practices (including Docker, Terraform, AWS/GCP/Azure) and designing robust, highly scalable systems.
- A proactive leadership approach with deep technical accountability and a history of guiding and scaling engineering talent.
- A results-driven, highly focused attitude with a willingness to collaborate closely on-site in Munich within a fast-paced, high-energy environment.
- Exceptional English communication skills to facilitate seamless collaboration within a high-performing global engineering team.
In this role, you will work on-site from our office in Munich to foster close, high-bandwidth collaboration and rapid execution.
Should you relocate or travel for this position, your relocation or travel expenses will, of course, be fully covered by our client.
| WHAT YOU WILL GET
- Competitive salary up to €200k + equity (negotiable based on experience)
- Real ownership of core parts of the product architecture from day one
- The steepest possible learning curve within an ambitious, high-growth AI startup
- Direct collaboration with an exceptional founder team and access to the prestigious Y Combinator network
- Top-tier equipment and uncapped access to AI services and development tools
- Free Urban Sports Club membership
- On-demand remote options whenever temporary flexibility is needed
If you apply here, we will send you additional information about the company, the role, and the salary to support your decision-making process.
If you remain interested, we will invite you to an initial conversation.