
eCommerce • Food Delivery • Technology
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.
5001 - 10000 employees
🛍️ eCommerce
36 minutes ago
🗣️🇧🇷🇵🇹 Portuguese Required

eCommerce • Food Delivery • Technology
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.
5001 - 10000 employees
🛍️ eCommerce
• You will be one of the primary technical references in building iFood’s core AI agents platform — a strategic pillar that will enable multiple teams to develop agents quickly, securely, and with extensive reuse.
• Design and evolve the core architecture of the AI agents platform, ensuring standardization, governance, and high reusability. • Apply deep data expertise to build robust mechanisms for tracking, metrics, evaluation, logging, observability, and auditing — essential elements for the agents’ lifecycle. • Work directly on AI agent initiatives, understanding their needs, behavior patterns, interactions, and orchestration requirements. • Contribute to internalizing critical components, ensuring control, security, and consistency across the ecosystem. • Connect with other AI initiatives at iFood to ensure technical alignment and the sharing of learnings. • Propose foundational MVPs, such as documentation standards, agent templates, internal SDKs, monitoring tools, and observability protocols. • Collaborate with diverse teams, navigating between technical and product areas to accelerate decisions and remove blockers.
• Deep expertise in data, including modeling, pipelines, versioning, metrics, model evaluation, and observability. • Strong knowledge of distributed systems architecture, with the ability to design and implement scalable, highly available solutions. • Experience with machine learning platforms or pipelines (MLOps, feature stores, model monitoring, etc.). • Hands-on experience with AI agents, orchestrators, or frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or equivalents. • Proven experience in technical leadership and software development in high-complexity environments. • Clear and influential communication skills, essential for connecting teams, aligning expectations, and driving decisions.
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