GIC is one of the world’s largest sovereign wealth funds. With over 2,000 employees across 11 offices around the world, we invest in more than 40 countries globally across asset classes and businesses. Working at GIC gives you exposure to an extraordinary network of the world’s industry leaders. As a leading global long-term investor, we Work at the Point of Impact for Singapore’s financial future, and the communities we invest in worldwide.
The Artificial Intelligence Alpha Group (AAG) is a newly formed, AI-native investment team building and applying advanced AI technologies to deliver superior investment performance. We are a collaborative and cross-functional team of investors, data scientists, and technologists, using AI to reimagine fundamental investing.
What impact can you make in this role?
As an Applied AI Engineer, you will design, build and iterate AI-driven investment systems end-to-end, translating raw data and ambiguous problem statements into production-grade solutions with measurable investment impact.
You will work across data, models and systems, collaborating closely with portfolio managers, engineers and domain experts to embed AI capabilities directly into core investment workflows.
The ideal candidate combines strong full-stack engineering capabilities with working knowledge of data pipelines and deployment environments, a deep curiosity about the latest advancements in AI technologies and hands-on experience using AI tools to automate, accelerate, and enhance software development.
What will you do in this role?
- Implement and operationalize system components into production-ready applications.
- Translate product requirements into detailed technical specifications and development plans.
- Design, develop, and maintain full-stack applications using modern frameworks and best practices across backend and frontend systems.
- Design and implement evaluation frameworks, metrics and monitoring solutions to assess model and system performance; deploy applications to designated environments and ensure stable, reliable operation in production.
- Write and maintain unit, integration, and end-to-end tests to ensure code reliability, performance, and maintainability.
- Implement and manage data storage systems, including relational, vector, and graph databases, ensuring scalability, reliability, and integration with downstream applications.
- Design, build and optimize data processing workflows, including data extraction, transformation, integration pipelines, and feature engineering to support AI models and applications.
- Implement data quality checks, lineage tracking, and governance practices to ensure reliable, compliant, and auditable use of data across systems.
- Contribute to technical documentation and facilitate cross-functional collaboration throughout the product development lifecycle.
- Leverage AI-native development tools for coding, documentation, testing, and troubleshooting, while continuously exploring emerging AI techniques to enhance development productivity and quality.
What qualifications, skills and traits should you possess in this role?
- Bachelor’s degree of higher in Computer Science, Software Engineering, or related field.
- 10+ years of experience designing, building and operating large-scale backend and data platforms, with hands-on expertise in Python-based backend frameworks (e.g., FastAPI, Django, Flask), and deep experience supporting AI- or analytics-intensive workloads.
- Strong proficiency in modern databases and frameworks (e.g., PostgreSQL, Spark, Kafka).
- Experience designing or working with vector databases or graph databases is preferred.
- Deep understanding of data modeling, feature engineering, and ELT pipeline design principles.
- Familiarity with data quality, metadata management, and governance frameworks.
- Experience with cloud and large-scale data platforms (e.g. Databricks, AWS or equivalents) is a plus.
- Working knowledge of modern machine learning workflows (feature engineering, model training, evaluation and iteration) and practical familiarity with LLMs, embeddings and prompt-based systems.
- Demonstrated ability to ship production-grade solutions and leverage AI-native development tools to accelerate coding, testing and documentation.
- Solid understanding of web architecture, APIs, and software design principles.
- Strong analytical, problem-solving, and communication skills, with the ability to collaborate effectively across technical and product teams.
- Deep curiosity and passion for exploring emerging AI technologies and applying them to real-world product development.
Work at the Point of Impact
We need to be forward-looking to attract the right people to help us become the Leading Global Long-term Investor. Join our ambitious, agile, and diverse teams - be empowered to push boundaries and pursue innovative ideas, share your views, and be heard. Be anchored on our PRIME Values: Prudence, Respect, Integrity, Merit and Excel