Senior Staff AI Engineer

🔥 0 minutes ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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iFood

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

🍽️ Food & Beverage

📦 Logistics

📣 Marketing

Food & Beverage • Logistics • Marketing

iFood is a leading food delivery platform based in Brazil, connecting customers with a wide array of restaurants and food options. The company leverages cutting-edge technology and artificial intelligence to improve customer experience, streamline operations, and enhance delivery logistics. iFood fosters a diverse and inclusive work environment, focusing on sustainability and the positive impact of its services on the community.

📋 Description

• Research and validate emerging technologies before recommending them to other teams • Build hands-on prototypes and AI solutions involving LLMs and autonomous agents • Make cost-benefit decisions between traditional technologies, training LLMs, and using agents • Design scalable system architectures with rigorous testing and experimentation • Deliver iterative solutions that demonstrate measurable value within weeks or months • Influence technology adoption without hierarchical authority over other teams • Define replicable testing and validation methods for complex use cases • Research, build, and validate AI and autonomous-agent concepts in iFood LABS, bridging research and production

🎯 Requirements

• Strong foundation 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 move between academic research and production implementation • High level of autonomy when navigating ambiguous and uncertain environments • Hands-on approach focused on delivering practical, functional solutions • Scientific rigor in conducting experiments and analyzing results • Ability to exert technical influence without relying on hierarchy • Previous experience in innovation units, labs, or R&D environments • Publications or contributions to AI and ML technical communities • Experience with iterative delivery and rapid validation of technical hypotheses