AI Engineer / Senior AI Engineer

Visa Hunt; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

GL Bank is seeking an AI Engineer to join its AI team, focusing on building AI-enabled solutions for banking applications. The role welcomes candidates across experience levels, with senior staff able to lead architecture and mentor juniors.

You will work on end-to-end AI solution development, including model training, deployment, and collaboration across technology, data, risk and business units in Singapore.

Qualifications

• Bachelor's degree in Computer Science, AI, Data Science, Engineering or equivalent practical experience.
• Strong programming fundamentals, preferably Python.
• Basic understanding of ML/AI concepts.
• Hands-on exposure to ML, Generative AI, LLMs, APIs and backend development.
• Experience with ML frameworks and cloud platforms is a plus.

Responsibilities

• Develop AI-enabled applications and solutions using ML, Generative AI, LLMs and AI agents.
• Integrate AI models with APIs, databases and existing systems.
• Evaluate AI models and techniques for business use cases.
• Develop, train or fine-tune AI models where appropriate.
• Prepare data with data engineers and business users for AI apps.
• Support deployment, testing, monitoring and improvement of AI apps.
• Maintain documentation for developed solutions.
• Collaborate with tech, data, risk and business teams to translate problems into AI solutions.
• Mentor junior engineers and review designs for complex AI implementations as needed.

Skills

Python

ML

AI concepts

APIs

Cloud platforms

Docker

MLOps

LangChain / LLMs

Education

Bachelor's degree in CS/AI/Data Science

Tools

PyTorch

TensorFlow

Hugging Face

Docker

CI/CD

Job description

We are seeking an AI Engineer / Senior AI Engineer to join our growing AI team. This is a unique opportunity to be a foundational member of our AI initiatives, with a primary focus on developing AI-enabled solutions for the Bank. We welcome candidates at different levels of experience. Candidates with more experience and is able to meet more senior criteria will be considered for the role of the Senior AI Engineer.

Responsibilities

• AI Solution Development: Develop and implement AI-enabled applications and solutions, including those using machine learning, Generative AI, Large Language Models (LLMs) and AI agents.
• Application Development: Build prototypes and production applications by integrating AI models, APIs, databases and existing systems.
• Experimentation: Evaluate different AI models, tools and techniques and recommend suitable approaches for business use cases.
• Model Development: Where appropriate, develop, train, fine-tune or configure machine learning and AI models.
• Data Preparation: Work with data engineers and business users to understand data requirements and prepare data for AI applications.
• Deployment & Monitoring: Support the deployment, testing, monitoring and ongoing improvement of AI applications.
• Responsible AI: Develop solutions with consideration for data privacy, security, explain ability and responsible use of AI.
• Collaboration: Work closely with technology, data, risk and business teams to translate business problems into practical AI solutions.
• Documentation: Maintain clear technical documentation for solutions developed.
• Continuous Learning: Keep abreast of developments in AI and experiment with new technologies that may be relevant to the Bank.
• Senior Hire: Additional technical responsibilities including leading solution architecture, reviewing technical designs, mentoring junior engineers and taking ownership of complex AI implementations.

Requirements

• Bachelor’s degree in computer science, Artificial Intelligence, Data Science, Engineering or another quantitative/technical discipline, or equivalent practical experience.
• Good programming fundamentals, preferably in Python.
• Basic understanding of machine learning and AI concepts.
• Some hands-on exposure to at least one area such as: Machine learning/deep learning; Generative AI or LLM applications; APIs and backend development; Data processing and analytics; or Cloud-based application development.
• Experience in any of the following would be useful: LLMs, RAG, AI agents or agentic workflows; PyTorch, TensorFlow, Hugging Face or similar frameworks; LangChain, LangGraph or similar AI application frameworks; Cloud platforms such as AWS, Azure or GCP; Docker, CI/CD or MLOps practices; Databases, vector databases or data pipelines; Application development using APIs and microservices; AI security, governance or responsible AI practices; Financial services or regulated industries.
• Comfortable learning new technologies and experimenting with unfamiliar tools.
• Good analytical and problem-solving skills.
• Able to communicate technical concepts clearly and work collaboratively with others.
• Academic projects, internships, personal projects, GitHub work or other demonstrable hands-on experience may be considered in place of extensive industry experience for junior hire.
• Candidates who are able to demonstrate experience delivering AI/ML applications into production and the ability to independently design and lead technical solutions will be considered for a more senior role.

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