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Open nowPosted 12 days ago

AI Automation Engineer

Specter36 open roles

Where
Antwerp, Flanders, Belgium
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Your applicationOpen nowAI Automation EngineerSpecter · Antwerp, Flanders, Belgium
  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

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The clock on this job

Early applications get read.

13.7% of postings close within 7 days. Measured by our own scanner across the market. Specter postings stay open a median of 28 days.

Share of postings closed within
  1. 2.3%1 day
  2. 4.8%3 days
  3. 13.7%7 days
  4. 22.1%14 days
  5. 37.6%30 days
  6. 59.1%60 days
This job: posted 12 days ago

Specter median: 28 days open

The posting

The role

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.

What you'll do

  • 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.

What we're looking for

  • 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".

Nice to have

  • Experience with CRMs/ATS
  • Familiarity with GDPR and the EU AI Act as they apply to recruitment.
  • Cloud experience (Azure, AWS or GCP) and infrastructure as code.
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