About Us

Green Link Digital Bank is Singapore's inaugural wholesale digital bank focusing on supply chain finance, mainly serving MSMEs and aiming to help MSMEs grow and improve digitization.

We are seeking a highly skilled and experienced Senior AI Engineer/AI Specialist to join our dynamic and growing technology team. This is a unique opportunity to be a foundational member of our AI initiatives, with a primary focus on leading the implementation of agentic AI solutions. The successful candidate will play a critical role in designing, developing, and deploying intelligent autonomous systems that will revolutionize various aspects of our wholesale banking operations.

Responsibilities

• Lead Agentic AI Implementation: Drive the end-to-end development and deployment of agentic AI solutions, including defining agent architectures, designing interaction protocols, and orchestrating multi-agent systems.
• Research & Innovation: Stay abreast of the latest advancements in agentic AI, large language models (LLMs), reinforcement learning, and other relevant AI domains. Evaluate and propose new technologies and methodologies to enhance our AI capabilities.
• Solution Design & Architecture: Collaborate with business stakeholders, product managers, and other engineering teams to identify opportunities for AI-driven automation and intelligence. Design scalable, robust, and secure AI architectures that integrate seamlessly with existing banking systems.
• Model Development & Training: Develop, train, and fine-tune AI models (including LLMs) to power agentic behaviours, ensuring high performance, accuracy, and ethical considerations.
• Data Strategy: Work closely with data engineers to define data requirements, ensure data quality, and build robust data pipelines necessary for training and operating AI agents.
• Deployment & MLOps: Implement best practices for MLOps, including continuous integration/continuous deployment (CI/CD) for AI models, model monitoring, versioning, and lifecycle management of agentic systems.
• Performance Optimization & Tuning: Monitor the performance of deployed AI agents, identify areas for improvement, and implement optimizations to enhance efficiency and effectiveness.
• Security & Compliance: Ensure all AI solutions adhere to the highest standards of data privacy, security, regulatory compliance (MAS regulations, etc.), and responsible AI principles.
• Mentorship & Collaboration: Provide technical leadership and mentorship to junior engineers. Foster a collaborative environment within the AI team and across departments.
• Documentation: Create comprehensive technical documentation for AI models, systems, and processes.

Requirements

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Robotics, or a related quantitative field.
• 5+ years of hands-on experience in AI/ML engineering, with a strong portfolio demonstrating successful implementation of complex AI solutions.
• Proven experience specifically with Agentic AI, multi-agent systems, or autonomous intelligent agents is highly desirable.
• Deep understanding of Large Language Models (LLMs), their architectures, fine-tuning techniques, and practical applications.
• Proficiency in programming languages such as Python (essential), Java, or C++.
• Extensive experience with AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers, LangChain, LlamaIndex).
• Solid understanding of machine learning algorithms, deep learning, reinforcement learning, and natural language processing (NLP).
• Experience with cloud platforms (AWS, Azure, GCP) and their AI/ML services.
• Familiarity with MLOps tools and practices (e.g., Docker, Kubernetes, MLflow, Kubeflow).
• Strong understanding of data structures, algorithms, and software design principles.
• Excellent problem-solving skills, with a methodical and analytical approach.
• Ability to communicate complex technical concepts effectively to both technical and non-technical audiences.
• Prior experience in the financial services industry, particularly wholesale banking or digital banking, is a significant plus.
• Experience with distributed systems and microservices architecture is a plus.

By submitting your application, you have given your consent for us to collect, use and retain your data for a year as according to our prevailing data retention and PDPA policies. Should you have any enquiries on our data policy, please contact us at CustomerSupport@glbank.com.