
Internship - Engineering
BLP Digital AG26 days ago
Zürich, SwitzerlandIntern
Responsibilities
- Work with end-users, process owners, and client engineers to understand workflows and underlying business problems.
- Translate target-state processes into technical architectures, data models, integrations, agent designs, and workflow designs.
- Build full-stack production systems with TypeScript backends, integrations, LLM orchestration, and evaluations.
- Support user demos and incorporate customer feedback into subsequent iterations.
- Own observability and evaluations for live solutions and improve their reliability in customer environments.
- Build and ship AI-powered internal tools for hiring, finance, and operations.
- Evaluate, integrate, and chain AI models, APIs, frameworks, agent frameworks, embedding pipelines, and AI coding tools.
- Integrate internal tools with APIs, databases, and third-party services, and help deploy, test, ship, and monitor them end to end.
Requirements
- Bachelor’s degree in Computer Science, or master’s degree in Engineering with Computer Science coursework.
- Hands-on experience with LLM APIs, AI coding assistants, agent frameworks, or workflow automation.
- Comfort with TypeScript or the ability to learn it quickly.
- Evidence of building a side project, hack, or tool that people actually used.
- Ability to work with non-technical teams and turn ambiguous problems into practical solutions.
- Comfort with ambiguity and fast feedback cycles.
- Fluency in English; German is a plus.
- Exposure to ERP or business-process environments such as SAP, Microsoft Dynamics, Oracle, or NetSuite is a bonus.
- Experience with Make, n8n, Retool, or Supabase is a bonus.
Benefits
- Six-month internship based in Zurich.
- Work on real customer problems at a high-growth deep-tech startup.
- Use state-of-the-art LLMs, agent frameworks, and AI coding tools.
- Receive real ownership from day one across internal tooling or live customer engagements.
- Clear, fast path to a permanent role for strong candidates.
- Collaborate with colleagues from exceptional academic and professional backgrounds.
Tech Stack
MakeTypeScript
Categories
AI ApplicationsForward Deployed