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Applied AI Engineer

BLP Digital AG · London

On-sitePosted 9 Sept 2026

What this role requires

4 requirements, read out of the advert rather than guessed from the job title:

Also mentioned, not required: English, German. Worth having, but their absence is not what gets a CV filtered out.

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Job description

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.

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.

Read the full description (18 more sections)

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

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