AI Automation Engineer

Il y a 2 heures

Antwerp, Flanders, Belgique Specter Temps plein

Gratuit avec email ou Google

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Gratuit avec email ou Google

This is not a blank page R&D job. You inherit working prototypes and make them reliable, secure and scalable.

You decide what gets hardened, what gets rebuilt and what gets replaced by a better tool.

You work directly with the founder: they keep prototyping new ideas, you decide what is ready for production.

Make it reliable: error handling, retries and rate limits, so no workflow fails silently.
Make it visible: monitoring and alerts, so we know a flow broke before a recruiter or client does.
Structure the data: one clean data model that is the single source of truth for candidates, clients and vacancies.
Secure it: credentials out of the workflows, proper access control and GDPR compliant data retention.
Measure AI quality: test sets for AI output, versioned prompts and cost per run tracking.
Make it last: version control and documentation, so the system never depends on one person.
Build, rebuild or buy: decide per workflow, and integrate vendor tools where they beat our own.
Own the production gate: nothing becomes business critical without your sign off.

At least 2 years experience in backend, data or automation engineering, including systems other people relied on every day.
Strong Python, SQL and REST APIs.
Hands-on experience with workflow tools like n8n, Make or Zapier, and the judgment to know when a flow belongs in code.
Experience running LLM APIs in production: prompt management, output validation and cost control.
You think in failure modes: what breaks at ten times the volume, and what happens when the model returns nonsense.
You can explain technical tradeoffs to non technical people, and you're comfortable saying "this needs rebuilding".