Applied AI Engineer

Posted 2 Days Ago
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Zürich, CHE
In-Office
Mid level
Artificial Intelligence • Logistics • Software • Automation
The Role
Build and ship AI-powered internal tools quickly using LLMs, agent frameworks, and embedding pipelines. Integrate models, APIs, databases, and third-party services; deploy and monitor production solutions that automate company workflows and scale reliably.
Summary Generated by Built In

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 20,000+ daily active users, 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.

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

Requirements

  • Technical background with real building experience — CS degree, bootcamp, self-taught, we don't care as long as you've shipped things that work

  • You've built with modern AI tooling (LLMs, AI coding assistants, workflow automation) and you're obsessed with what's coming next

  • Startup or entrepreneurial DNA — you've either founded something, built an internal tool that became critical infra, or hacked together solutions that people actually used

  • You move fast, communicate clearly, and love collaborating with non-technical teams to understand their pain points and turn them into elegant, automated solutionsFluency in English, German is a plus

  • Bonus: experience with tools like Make, n8n, Retool, Supabase, or similar — but honestly, we care more about your ability to learn any tool in a weekend

Benefits

  • Solve real problems, fast. Join a high-growth deep-tech startup tackling real-world challenges for global industry leaders.

  • Build from zero to one. Take ownership of our internal tooling landscape — shaping its foundations and direction from the ground up.

  • Opportunities to grow. You're controlling your personal development and career trajectory in a rapidly growing, internationally expanding startup

  • Exceptional colleagues. You'll be growing alongside individuals from exceptional academic backgrounds and careers

Skills Required

  • Proven technical background with real building experience (shipped production solutions)
  • Experience building with modern AI tooling (LLMs, agent frameworks, embedding pipelines, AI coding assistants)
  • Ability to write clean, maintainable code that integrates with APIs, databases, and third-party services
  • End-to-end ownership of deployments: build, test, ship, monitor, and run reliably without babysitting
  • Startup or entrepreneurial DNA (founded something, built critical internal tools, or shipped practical hacks used by others)
  • Strong communication and collaboration with non-technical teams
  • Fluency in English
  • Fluency in German
  • Experience with Make, n8n, Retool, Supabase or similar tools
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The Company
HQ: Zurich
74 Employees
Year Founded: 2019

What We Do

The new #1 ERP-Automation solution for Finance, Procurement, Logistics, Sales and many more. BLP develops state-of-the-art machine learning algorithms to automate entire ERP processes. As one of Switzerland's fastest-growing SaaS scale-ups and an official ETH and HSG spin-off, we are proudly self-financed and fully employee-owned. We have grown from 15 to more than 70+ skilled professionals. Interested in our ERP-Automation? Our ERP-Automation solution is powered by the cloud and AI native. We are designed to transform your business operations by freeing your team to focus on where they create most value.

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