Asia Pacific Breweries Singapore (Part of The HEINEKEN Company)
AI Engineer
Asia Pacific Breweries Singapore (Part of The HEINEKEN Company)Singapore6 hours ago
Full-timeEngineering, Information Technology
The AI Engineer will be a key contributor to Heineken's Global GenAI Lab in Singapore, designing, developing, and implementing end-to-end AI solutions that deliver measurable business impact across the organization. This role combines deep technical expertise in generative AI with strong software engineering skills to build scalable, production-ready systems.

You will work as part of a fast-moving technical team with start-up agility within enterprise scale, experimenting with cutting-edge AI technologies while solving real-world business challenges through innovative GenAI applications. The ideal candidate is a versatile engineer who can adapt quickly, think creatively, and become a domain expert while collaborating effectively in a fast-paced, high-impact environment.

Key Responsibilities:

AI Solution Development

  • Design and develop GenAI models and applications from concept to production, including model selection, fine-tuning, and optimization for specific business use cases.
  • Build end-to-end AI solutions that integrate seamlessly with existing enterprise systems and workflows.
  • Implement sophisticated prompting strategies and language engineering techniques to maximize model performance and reliability.
  • Create functional demonstration interfaces and prototypes using tools like Gradio, Streamlit, or custom web applications.

Software Engineering & API Development

  • Build robust, scalable APIs and microservices that serve AI models in production environments.
  • Develop containerized applications using Docker and orchestration platforms for reliable deployment.
  • Create and maintain clean, well-documented code that follows best practices for enterprise software development.
  • Implement proper error handling, logging, and monitoring for AI applications.

Data Pipeline Engineering

  • Design and implement robust data pipelines for preparation, cleaning, and integration of diverse data sources.
  • Handle enterprise data challenges including Excel files, PowerPoint presentations, and Office 365 integrations.
  • Build ETL processes that ensure data quality and consistency for AI model training and inference.
  • Implement data processing solutions that scale efficiently with growing data volumes.
  • Develop data validation and monitoring systems to maintain pipeline reliability.

Enterprise Integration & Deployment

  • Integrate AI solutions with existing business systems, databases, and enterprise applications.
  • Navigate complex enterprise environments and work with legacy systems and data formats.
  • Implement security best practices and ensure compliance with enterprise governance requirements.
  • Manage model lifecycle including version control, A/B testing, and performance monitoring.

Research & Innovation

  • Experiment with emerging GenAI technologies, frameworks, and methodologies
  • Conduct applied research to solve novel business problems using state-of-the-art AI techniques.
  • Evaluate and benchmark different AI models and approaches for specific use cases.
  • Contribute to the lab's knowledge base and share learnings across the team

Key Skills

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