Software Engineer, GenAI & Digital Transformation

10/24/2025

The role involves collaborating with senior engineers and product managers to design, develop, and deploy AI-enabled applications. Additionally, the engineer will support data engineering, feature development, and contribute to SGX’s digital transformation initiatives.

Working Hours

40 hours/week

Company Size

1,001-5,000 employees

Language

English

Visa Sponsorship

About The Company

SGX Group (Singapore Exchange) is Asia's leading and trusted securities and derivatives market infrastructure, operating equity, fixed income and derivatives markets to the highest regulatory standards. We also operate a multi-asset sustainability platform, SGX FIRST or Future in Reshaping Sustainability Together. We are committed to facilitating economic growth in a sustainable manner, leveraging our roles as a key player in the ecosystem, a business, a regulator and a listed company. With climate action as a key priority, we aim to be a leading sustainable and transition financing and trading hub offering trusted, quality, end-to-end products and solutions. As Asia's most international, multi-asset exchange, we provide listing, trading, clearing, settlement, depository and data services, with about 40% of listed companies and over 80% of listed bonds originating outside Singapore. We are the world's most liquid international market for the benchmark equity indices of China, India, Japan and ASEAN. In foreign exchange, we are Asia's leading marketplace and the most comprehensive service provider for global FX over-the-counter and futures participants. Headquartered in AAA-rated Singapore, we are globally recognised for our risk management and clearing capabilities.

About the Role

Job Summary

We are seeking a skilled Software Engineer with experience in software development, data systems, or AI-driven platforms to support the design and implementation of Generative AI (GenAI) and digital transformation projects at SGX.

Working closely with the Senior Software Engineer, GenAI Platforms, this role will contribute to the delivery of cutting-edge AI solutions, from prototype to production, leveraging modern LLM frameworks (e.g. Llama, Gemini, GPT) and scalable cloud infrastructure (GCP, AWS).

The ideal candidate is hands-on, curious about emerging AI technologies, and eager to help shape SGX’s next-generation digital ecosystem.

Job Responsibilities

• Collaborate with senior engineers and product managers to design, develop, and deploy AI-enable applications.
• Implement and maintain cloud-based systems on GCP and AWS for model training, testing, and deployment.
• Integrate LLMs and GenAI services (e.g. Gemini, Llama, Claude, Open AI APIs) into production workflows.
• Support data engineering, feature development, and MLOps pipelines.
• Develop robust, maintainable backend services using modern frameworks and best practices.
• Participate in code reviews, testing, and documentation to ensure reliability and security.
• Contribute to SGX’s digital transformation initiatives, helping modernize legacy systems and processes.
• Work closely with cross-functional teams to translate business requirements into technical solutions.
• Stay updated on emerging AI and cloud technologies, and propose improvements for platform efficiency.

Job Requirements

• 8+ years of professional experience in software engineering, preferably within digital transformation or AI-related projects.
• Bachelor’s degree in Computer Science, Information Technology, Data Engineering, or a related discipline.
• Strong programming experience in Python, Java, or similar modern languages.
• Experience with cloud infrastructure (GCP, AWS) and containerization (Docker, Kubernetes).
• Familiarity with GenAI/LLM frameworks (LangChain, Vertex AI, Hugging Face, OpenAI APIs).
• Knowledge of data processing, APIs, and microservices architecture.
• Excellent problem-solving, analytical, and communication skills.
• Enthusiasm for learning new AI technologies and working in a fast-moving, collaborative environment.
• Prior exposure to MLOps tools (MLflow, Kubeflow, Vertex Pipelines) advantageous.
• Experience integrating AI into enterprise business systems advantageous.
• Background in data visualization or analytics advantageous.
• Experience working in regulated or financial environments advantageous.

Key Skills

Software EngineeringGenerative AICloud InfrastructurePythonJavaMLOpsData EngineeringAPIsMicroservicesContainerizationProblem-SolvingAnalytical SkillsCommunication SkillsData VisualizationAI TechnologiesDigital Transformation