Working Student / Intern – Software Engineering & AI

About Alago & Our Mission

Modern construction projects are plagued by inefficiencies costing the industry over $1.6 trillion each year. Much of this can be traced to outdated documentation and fragmented information. Alago is committed to changing this by unlocking and integrating project data for smarter workflows. Our platform combines leading-edge AI and seamless integrations to automate routine tasks, provide valuable insights, and minimize repeated errors. Fresh off a significant pre-seed funding round, we're ready to reshape how the built environment comes to life.

Your Role

As a Working Student or Intern specializing in Software Engineering & AI, you will become part of our core development team. You’ll work on the real products that drive tangible change in the construction world, contribute new features, and learn directly from experienced founders and leaders.

• Work closely with our tech team to implement production-ready features
• Utilize advanced developer tools such as Cursor and Claude Code to enhance productivity
• Engage in the design, testing, deployment, and maintenance of both backend and frontend parts of our platform
• Propose and prototype enhancements to performance and user experience
• Assist with quality assurance, customer onboarding, and deploying solutions
• Contribute ideas that directly impact product design and direction

Our Technology Stack

• TypeScript used across entire stack
• Frontend: Next.js, Tailwind CSS
• Backend: Serverless Node.js functions
• AI/LLM orchestration: LangChain and LangGraph
• Infrastructure: Vercel, Supabase (PostgreSQL with vector search capabilities)

Exposure to all tech is not mandatory; a willingness to learn and adapt is valued above all.

Qualifications

• C1 or better proficiency in German, with the ability to handle specialized terminology and optimize AI prompts in German
• Active enrollment in a Bachelor’s or Master’s program in Computer Science, Informatics, Business Informatics, or an adjacent field
• Solid experience building web-based interfaces using JavaScript and React (public project contributions appreciated)
• Introductory knowledge of Retrieval-Augmented Generation (RAG) systems and prompt engineering
• Demonstrated interest in artificial intelligence or machine learning
• Portfolio of academic, club, internship, or personal engineering projects
• Availability of at least 6 months in a working student or internship capacity

Desirable Extras

• Experience working with tools such as Loveable, v0, or Cursor
• Participation in hackathons
• A passion for excellent UI/UX

Perks & Benefits

• Steep learning curve: collaborate directly with founders and senior tech experts
• Autonomy and end-to-end ownership of features and projects
• Vibrant team atmosphere in Munich with hybrid remote flexibility (minimum 2 in-office days/week)
• Competitive salary reflecting your contribution and role in our growth
• Opportunity to help shape company culture and systems from the ground up
• Hands-on experience with fast feedback cycles, offering pathways to future leadership or entrepreneurship

Additional Information

• Equal opportunity employer: We welcome applicants from all backgrounds regardless of race, religion, age, disability, or gender identity
• Personal data not relevant to qualifications or eligibility should not be included in your application

Application Process

• Step 1: Submit a summary of a meaningful project you've built
• Step 2: Introductory video call with a founder (30 minutes)
• Step 3: Systems design and coding challenge (45 minutes)
• Step 4: Rapid offer process – decisions communicated within 24 hours