Senior Staff AI Engineer

iFood

WorldwideFully remoteFull TimeSeniorInformation Technology
Posted 21h ago

Why we think you can apply

Hiring model
Open worldwide · the employer states no country restriction
Work from
Anywhere, the UAE included

Posted 21 hours ago · apply link checked 21 hours ago

About the role

Responsibilities

  • Research and validate emerging technologies before proposing them to other teams
  • Build hands-on prototypes and solutions in AI, LLMs, and autonomous agents
  • Decide between traditional technologies, training LLMs, or using agents based on cost-benefit analysis
  • Design scalable system architectures with rigor in testing and experimentation
  • Deliver evolutionary solutions that demonstrate measurable value in weeks or months
  • Influence technology adoption across teams without hierarchical authority
  • Define replicable methods for testing and validation for complex use cases

Requirements

  • Solid base in software engineering and scalable system design
  • Experience with traditional machine learning and artificial intelligence
  • Knowledge of Large Language Models (LLMs) and autonomous agent technologies
  • Ability to transition between academic research and production implementation
  • High autonomy to navigate ambiguity and uncertainty
  • Hands-on approach with focus on delivering practical and functional solutions
  • Scientific rigor in conducting experiments and analysis of results
  • Ability to influence technically without relying on hierarchy

Preferred Qualifications

  • Previous experience in innovation units, labs, or R&D
  • Publications or contributions to AI and ML technical communities
  • Experience with iterative deliveries and rapid technical hypothesis validation

About the Company

iFood is a leading food delivery platform that focuses on-on-the-edge of technological innovation and disruption. The LABS unit works to test emerging technologies and validate use cases that raise the technical standard of iFood before scaling to other areas.

What we look for

  • Solid base in software engineering and scalable system design
  • Experience with traditional machine learning and artificial intelligence
  • Knowledge of Large Language Models (LLMs) and autonomous agent technologies
  • High autonomy to navigate ambiguity and uncertainty
  • Hands-on approach with focus on delivering practical and functional solutions
  • Rigor in conducting experiments and analysis of results
  • Ability to influence technically without relying on hierarchy
Machine LearningAILLMSystem design
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