Bulldogjob Stacjonarnie Senior New

Applied AI Engineer

BLP Digital AG

⚲ Zurich, London

Wymagania

  • LLMs
  • AI agents
  • Make
  • n8n

Opis stanowiska

blp is a high-performance ETH and HSG spin-off redefining ERP automation with AI. We solve real enterprise problems with cutting-edge tech and a strong sense of ownership. Our solution is in production across 40+ countries, used by 20'000+ daily active users, automating 70'000+ processes every day. Our AI-driven ERP automation is transforming finance, procurement, logistics, sales, and more. As one of Switzerland's fastest-growing SaaS scale-ups, we are proudly self-financed and fully employee-owned. Our success stems from deep expertise in technology and business processes, delivering a superior product with an outstanding product-to-market fit, proven by our growing customer base, including Fortune 500 companies. Our rapid growth and career opportunities have been recognised with the LinkedIn Top Startup Award, and we’re just getting started. Our HQ? Zürich’s iconic Bahnhofstrasse, a fitting home for a company redefining how businesses operate. Ready to build the future? Join blp today. About the position We're giving you the keys to the machine. As our Applied AI Engineer, you'll have a founder-level mandate to build and ship AI-powered internal tools that make our hiring, finance and ops workflows 10x faster — not 10% faster. You'll work at the frontier of what's possible with LLMs, AI agents, and emerging AI tooling, and apply it where it matters most: inside our own company. Key Responsibilities - Build and ship AI-powered internal tools fast — we're talking 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 production-ready internal solutions - Create compounding leverage — every tool you build should free up hours across the entire company - Write clean, maintainable code that integrates with our existing systems — APIs, databases, third-party services — and doesn't break at scale - Own your deployments end-to-end: build it, test it, ship it, monitor it — and build it well enough that it runs reliably without babysitting