Lead AI Engineer & AI Engineering Practice Leader

In The Pocket

Belgique

Sur place

EUR 90 000 - 140 000

Plein temps

14 jours+

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Un CV et une lettre de motivation personnalisés, prêts à envoyer.

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Avantages offerts par ce poste

Permanent contract
Competitive salary
Hospitalisation & group insurance
Meal vouchers
Phone subscription
Mobility budget
Team events
Learning budget after 6 months

Résumé du poste

In The Pocket is seeking a Lead AI Engineer to lead our AI engineering practice, set standards, and build AI-powered features on foundation models. You will work closely with other practice leads to shape the broader technical strategy and tackle cross-cutting challenges.

You will design and implement agentic workflows, ensure production readiness, and guide AI solutions from experiments to deployment, maintaining strong emphasis on reliability, observability, and cost management.

Qualifications

  • Senior AI engineer with proven track record in AI engineering.
  • Experience shipping agentic AI solutions.
  • Strong communication skills and fluency in English.
  • Dutch or French language skills are a strong asset.

Responsabilités

  • Lead the AI Engineering practice: vision, standards, and knowledge sharing.
  • Design and build AI-powered features on foundation models.
  • Guide AI solutions from experiments to production deployment.
  • Ensure reliability, observability, latency, and cost efficiency.
  • Collaborate with other engineering leaders and client stakeholders.

Connaissances

AI engineering
Senior engineer
Leadership
English fluency
Prompt & harness engineering
Architectural vision

Outils

LLM models
Agentic workflows
Production systems

Description du poste

In The Pocket is seeking a Lead AI Engineer to lead our AI engineering practice, set standards, and build AI-powered features on foundation models. You will work closely with other practice leads to shape the broader technical strategy and tackle cross-cutting challenges.

You will design and implement agentic workflows, ensure production readiness, and guide AI solutions from experiments to deployment, maintaining strong emphasis on reliability, observability, and cost management.

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