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AI Solutions Engineer

QS World University Rankings

Remote
Contrato Remote 🇬🇧 English
Large Language Models (LLMs) Retrieval systems Modern AI frameworks AI system design MLOps practices

Job description

About the role

QS is looking for an AI Solutions Engineer to design, build and deploy AI‑powered products that deliver real business value. You will work at the intersection of engineering, data and artificial intelligence, collaborating with product, data, engineering and machine‑learning teams to bring AI capabilities to our global education platforms.

Key responsibilities

  • Design, develop and launch AI‑powered applications, agentic workflows and intelligent automations using Large Language Models, retrieval systems and modern AI frameworks.
  • Translate business requirements into scalable, secure and cost‑effective AI solutions.
  • Integrate AI capabilities with existing data platforms and services.
  • Contribute to data pipelines, retrieval systems, evaluation frameworks and deployment processes for production AI systems.
  • Collaborate closely with cross‑functional teams to identify opportunities where AI can improve user experiences and automate workflows.

Required profile

  • Passionate about AI and solving complex problems.
  • Enjoys applying emerging technologies to real‑world challenges.
  • Strong understanding of machine‑learning concepts, AI system design and MLOps practices.
  • Ability to shape AI‑driven products that impact millions of learners worldwide.

Required skills

  • Large Language Models (LLMs)
  • Retrieval systems
  • Modern AI frameworks
  • Machine‑learning concepts
  • AI system design
  • MLOps practices

What we offer

  • Flexible, remote working environment.
  • Collaborative culture that supports personal and professional growth.
  • Opportunity to make a meaningful impact on the international higher‑education landscape.

Questions fréquentes

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Published 3 months ago

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QS World University Rankings