Internship - Engineering
BLP Digital
Join BLP Digital - The #1 Solution for ERP Automation BLP Digital is redefining ERP automation with agentic AI. Spun out of ETH Zurich and HSG, we build AI agents that automate finance, procurement, logistics, sales, and more for some of the world's largest enterprises. We solve real enterprise problems with cutting-edge technology and a strong sense of ownership. Our solution is live in 40+ countries, used by 550+ customers, and automates 70,000+ processes every day, including for Fortune 500 companies. As one of Switzerland's fastest-growing SaaS scaleups, our success stems from deep expertise in technology and business processes, delivering a product with outstanding product-market fit, proven by a growing global customer base. We've recently welcomed Goldman Sachs Alternatives as a growth investor, and we're now expanding into the UK with the launch of our London office. We are just getting started. Ready to build the future? Join BLP Digital today. The Role We're hiring two Software Engineering Interns to join our Zurich team for a 6-month internship. You'll work closely with our CTO, Sven Beck and with our project and sales teams - not on the sidelines, but on live work. Depending on where the business's priorities sit at any given time, your day-to-day will flex between two areas of our engineering work:
- Forward Deployed Engineering (FDE) - building production systems directly inside customer environments, alongside a Senior Consultant and other FDEs.
- Internal Tooling & Applied AI - building the AI-powered internal tools that make our own hiring, finance, and operations run faster.
- Sit with end-users, process owners, and client engineers to understand the real workflow - and the real problem underneath the stated one.
- Help translate the target-state process into a concrete technical solution: architecture, data model, integrations, agent and workflow design.
- Build full-stack: TypeScript backend, integrations, LLM orchestration, evals.
- Support demos with real users and help fold their feedback into the next iteration.
- Help own observability and evals once a solution is live, iterating until it's reliable under the customer's real conditions.
- Build and ship AI-powered internal tools fast - days and weeks, not quarters.
- Evaluate, integrate, and chain the latest AI models, APIs, and frameworks (LLMs, agent frameworks, embedding pipelines, AI coding tools) into internal solutions.
- Write clean, maintainable code that integrates with our existing systems - APIs, databases, third-party services.
- Help own deployments end-to-end: build it, test it, ship it, monitor it.
- A Bachelor's degree in Computer Science, or a Master's degree in Engineering with Computer Science coursework.
- Hands-on experience with modern AI tooling: LLM APIs, AI coding assistants (Claude Code, Cursor, or similar), agent frameworks, or workflow automation.
- Comfortable with TypeScript, or confident you can get there fast - you pick up new tools and stacks quickly.
- A fast-moving, entrepreneurial mindset - you've built something (a side project, a hack, a tool people actually used) rather than just studied how to.
- You enjoy working with non-technical teams and can turn a messy, half-stated problem into a clear, working solution.
- Comfortable with ambiguity and fast feedback cycles.
- Fluent in English; German is a plus.
- Bonus: exposure to ERP or business-process environments (SAP, Microsoft Dynamics, Oracle, NetSuite, or similar), or tools like Make, n8n, Retool, or Supabase.
- Solve real problems, fast - join a high-growth deep-tech startup tackling real-world challenges for global industry leaders.
- Work at the frontier - use and build with state-of-the-art tech: the latest LLMs, agent frameworks, and AI coding tools.
- Real ownership from day one - shape internal tooling from the ground up, or own pieces of a live customer engagement.
- A clear, fast path to a permanent role for the right candidates.
- Exceptional colleagues - you'll be growing alongside people from exceptional academic and professional backgrounds.
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