Description review

AI Product Engineer - Internal Tools & Automation (m/w/d) - fully remote

Lyto Brands Group GmbH · Düsseldorf · back to the listing

HR standards

45/100

poor

Title ↔ description

65/100

needs work

Reads as

Machine Learning Engineer

84% confident

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

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What the listing never says

  • 21 bullet points. Long requirement lists deter qualified candidates, who read them as hard gates. Scope clarity
  • No section describes what the person would actually do. Scope clarity
  • 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.

Build AI-powered tools and automations that make our Marketing, Creative, Operations, and Engineering teams 10x faster and better. You'll build on top of our proprietary platform, Lyto.OS, and continuously develop it further together with our Tech Team.

The team currently consists of an AI Engineer + a Software Developer + the CTO.

Tasks

•
You identify automation and AI opportunities across the entire company – in direct exchange with the teams, close to the real workflow instead of at the whiteboard.

•
You build AI-powered workflows for Marketing & Creative: briefing generation, copy review, asset QA, and ad-performance summaries – along our trend-to-product cycle of under one week.

•
You develop quality-assurance and anomaly-detection tooling for our proprietary platform, LYTO.OS.

•
You ship lightweight internal agents that take over repetitive work – so people can focus on what truly needs them.

•
You own internal operations automation end-to-end: reporting pipelines, approval flows, and cross-system data syncs across our 15 microservices.

•
You scope, prioritize, build, ship, and iterate – with full ownership and a short path from idea to production.

Requirements

• You're an excellent engineer who builds software that carries real load in production – clean, pragmatic, and free of bloat.

• You know our stack (PHP/Laravel & Python, Vue/React, MySQL, Docker, DigitalOcean) or pick it up effortlessly.

• You haven't just built LLM systems – you've run them in production, with everything that really entails: cost, latency, evals, edge cases, monitoring.

• Hands-on experience with Claude Code, the Anthropic Agent SDK, or multi-step AI agents in production.

• You extend AI tooling via MCPs and custom integrations against real data sources.

• Depth in LLM workflows: prompt engineering, tool use, structured outputs, RAG – and the judgment to choose the right tool for each problem.

• You think entrepreneurially and product-driven: you talk to users, question requirements, cut scope decisively, and tell AI gimmicks apart from real business impact.

• You want end-to-end ownership in a small, senior team that ships more than most 20-person teams.

Benefits

• Over 1 million orders, 5 markets, 3 brands – things are happening here. You take on real ownership instead of being just a cog in the machine.

• Flexible working hours and a home-office option. You decide when and where you're most productive.

• Dynamic team with a real culture: a weekly trophy for living our values, celebrating anniversaries and birthdays together, and monthly after-work drinks.

• Deutschland-Ticket, a €250 shopping budget in our own shops, and additional benefits like Urban Sports Club M.

• A new sport every month that we try out together in the Lyto Athletics Club.

• Team trips together (Mallorca, Belgium, Portugal) and the best company merch in the industry.

• Individual coaching tailored to your goals – from leadership to specialist coaching, e.g. your own Google Ads coach.

We look forward to your application. No cover letter required – just tell us why you'd like to work with us and where you make a difference.

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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: 20 points (from 65 before penalties). Reviewed 21 Sep 2026.