
5001 - 10000 employees
🛍️ eCommerce
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.
🔥 0 minutes ago
🗣️🇧🇷🇵🇹 Portuguese Required
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5001 - 10000 employees
🛍️ eCommerce
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.
• Conduct and analyze experiments, discussing results with a focus on efficiently rolling out tested tools and processes across the company. • Research and develop tools, automations, and processes integrated with AI models for various types of work, such as data analysis, design, and software development. • Collaborate with cross-functional teams across the company to define and deliver new features. • Specify and influence technical decisions regarding the use of AI technologies at iFood.
• Ability to work at speed and handle technical, ambiguous problems. • Experience in software engineering, building backend distributed systems and APIs in large-scale, secure, and scalable architectures. • Familiarity with authorization, authentication, AI security, and access control. • Technical knowledge in AI/ML, especially large language models (LLMs). • Experience setting up cloud infrastructure (e.g., AWS). • Experience with Go, Python, JavaScript/TypeScript or similar languages. • Familiarity with using AI coding agents to code and efficiently solve hard problems (e.g., Claude Code). • Knowledge and experience developing software integrated with LLM APIs (e.g., OpenAI API), such as AI agents, MCPs, RAGs, and other ML model integrations. • Familiarity with the scientific method, experimental design, and data analysis.
• Not specified
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