Description review

Senior Applied AI Engineer

BLP Digital AG · Spain, United Kingdom · back to the listing

HR standards

54/100

needs work

Title ↔ description

67/100

needs work

Reads as

Unclear

no confident match

What this role officially is

data scientist — ESCO, the EU occupation classification

Data scientists find and interpret rich data sources, manage large amounts of data, merge data sources, ensure consistency of data-sets, and create visualisations to aid in understanding data. They build mathematical models using data, present and communicate data insights and findings to specialists and scientists in their team and if required, to a non-expert audience, and recommend ways to apply the data.

Also known as: data scientists, data engineer, research data scientist, data expert, data research scientist

How others title the same work

Large employers

  • Applied AI Engineer Automattic
  • Machine Learning Engineer, CX Intelligence Coinbase
  • AI Engineer - FDE (Forward Deployed Engineer) Databricks
  • AI Engineer - FDE (Forward Deployed Engineer) - U.S. Federal Sector Databricks
  • Senior AI Engineer – Notebooks Datadog

Startups

  • Attendi | Medior Machine Learning Engineer | Amsterdam, Netherlands | ONSITE (hybrid) | €6,000 - €7,000 per month | Full-time (80–100%, ~4–5 days/week) | Visa sponsorship + 30% ruling possible Attendi
  • Member of Technical Staff (applied) Anthrogen
  • Aptura AI | Full-Time | MTS (Applied AI), MTS (SWE / Product) | London | ONSITE / HYBRID Aptura AI
  • Arcforma AI (arcforma.ai) | AI Engineer (Marketing / Construction / Arcforma AI (arcforma.ai)
  • Staff AI Engineer - Agent Architecture & Behavior Artisan

What the listing never says

  • No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
  • No location or timezone policy stated, so a candidate cannot tell where they may work from. Scope clarity

The listing, marked up

Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.

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 role

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.

What you'll do

• 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: document and share each tool well enough that it frees up hours company-wide, not just for you

• 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

What you'll bring

• 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 solutions

• Fluency 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

What you'll get

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

• A founder-level mandate. You decide what gets built and how, with direct access to the latest LLMs, agent frameworks, and AI coding tools.

• Speed as the standard. Ship in days and weeks, not quarters, and see your tools change how the company runs within the same month.

Learn more about blp and our values at .

Originally posted on Himalayas

How this was produced

Highlights are found by rule, not by a model: each one is a phrase matched at a known position, and every note is a template we wrote. The two scores come from a typed-decision model (Jev) that reads the listing against the official role definition and real listings for the same role, and returns probabilities rather than prose — it never writes any of the words on this page, and never chooses what to highlight.

Deterministic penalty applied to the HR score: 8 points (from 62 before penalties). Reviewed 21 Sep 2026.