AI Engineer

Overview

We’re looking for an AI Engineer to help build intelligent, conversation-driven ordering experiences for the Food & Beverage industry. The ideal candidate will work with Large Language Models (LLMs), multi-agent systems, and real-world food data to develop smart, personalized, and seamless user journeys.

Key Responsibilities

• Build intelligent ordering journeys using LLMs (Large Language Models) and multi-agent systems.
• Work with real-world food data, user behavior models, and conversation-driven commerce to enhance customer experience.
• Design and implement AI-driven chat and recommendation systems for order prediction and personalization.
• Analyze customer behavior data to optimize menu suggestions, cross-selling, and retention strategies.
• Collaborate with data, product, and design teams to align AI outputs with business goals.
• Continuously experiment with AI models to improve ordering accuracy and customer engagement.
• Ensure AI systems are scalable, efficient, and aligned with data privacy and ethical standards.
  
  

• 3+ years of experience in AI / Machine Learning development.
• Strong coding skills in Python and experience with TensorFlow, PyTorch, or Scikit-learn.
• Familiarity with LLMs (OpenAI, Anthropic, Hugging Face, etc.) and LangChain or similar frameworks.
• Experience working with multi-agent systems or conversational AI tools.
• Solid understanding of data preprocessing, feature engineering, and model evaluation.
• Knowledge of Natural Language Processing (NLP) and recommendation systems is a plus.
• Exposure to F&B, e-commerce, or consumer-tech domains preferred.
  
  

• Strong problem-solving and analytical mindset.
• Clear communication skills — able to explain AI concepts to non-technical teams.
• Curious, proactive, and eager to explore new AI technologies.
  
  

• Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related field.
  
  

• Work on cutting-edge AI applications in the F&B domain.
• Be part of a team that’s redefining how customers interact with food platforms.
• Opportunity to apply AI in real-world commerce and customer behavior scenarios.