Last-Mile AI Deployment Engineer

ML6 - Accelerate Intelligence

Gent

Sur place

EUR 65 000 - 100 000

Plein temps

Il y a 13 jours
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Résumé du poste

ML6 - Accelerate Intelligence is seeking an AI Deployment Engineer to own the last mile of Unum deployments. You will connect Unum to real systems, shape workflows with users, and ensure adoption and measurable impact in complex enterprise environments.

You will work as a technical owner embedded near customers, turning messy enterprise reality into working software and repeatable patterns that strengthen the platform.

Qualifications

  • 3+ years of professional software, product engineering, applied AI, or related work.
  • Strong fundamentals to build full-stack apps with production impact.
  • Experience with LLM APIs and turning model capabilities into workflows.
  • Close collaboration with users and stakeholders to solve real constraints.
  • Ability to challenge requests with product judgement and impact focus.
  • Comfort with messy environments, evolving requirements and production constraints.
  • Founder mindset: ownership, structure, and field-ready solutions.

Responsabilités

  • Own the last mile of Unum deployments in customer environments.
  • Build integrations, templates, and deployment logic around customer systems.
  • Translate customer pain into reusable product patterns and templates.
  • Develop high-impact apps, connectors, and agentic workflows.
  • Drive adoption by earning trust and ensuring measurable value.

Connaissances

3+ years of experience in software
Full-stack engineering
Product engineering
Applied AI
Customer-facing engineering
Founder mindset
Execution under ambiguity

Outils

Python
TypeScript
Terraform

Description du poste

ML6 - Accelerate Intelligence is seeking an AI Deployment Engineer to own the last mile of Unum deployments. You will connect Unum to real systems, shape workflows with users, and ensure adoption and measurable impact in complex enterprise environments.

You will work as a technical owner embedded near customers, turning messy enterprise reality into working software and repeatable patterns that strengthen the platform.

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