VP of AI Engineering — Lead AI-Driven Investment Systems

Growth Equity Interview Guide; Singapore; Hybrid; SGD 180,000 - 300,000; Full time

Job summary

GIC is seeking a VP, AI Engineer to build and operationalize AI-driven investment systems with both front-end and back-end components. You will optimize data workflows, deploy robust applications, and collaborate across product and AI teams.

A strong background in full-stack development and AI passion is required for this leadership role. The position offers a mix of in-office and remote work, with responsibilities spanning scalable UI/UX and scalable backend services, plus emphasis on tests,

Qualifications

• Bachelor’s degree or higher in Computer Science, Software Engineering, or a related field.
• 10+ years of experience in full-stack development.
• Proficiency in modern front-end frameworks like React or Vue.
• Experience with Python-based back-end frameworks such as FastAPI, Django, or Flask.
• Solid understanding of web architecture and APIs.
• Familiarity with PostgreSQL.
• Experience deploying applications in cloud environments like AWS, GCP, or Azure.
• Strong analytical and problem-solving skills.

Responsibilities

• Build and operationalize AI-powered investment systems.
• Collaborate with product managers and AI engineers to define technical specifications.
• Develop scalable front-end interfaces and back-end services.
• Optimize data processing workflows for AI models.
• Deploy applications and ensure stable operation.
• Write tests to ensure code reliability and performance.
• Contribute to technical documentation and team collaboration.

Skills

Full-stack development

React

Vue

Python back-end

FastAPI

Django

Flask

Web APIs

PostgreSQL

Cloud deployment

Analytical skills

Education

Bachelor's degree or higher in CS/SE or related

Tools

React

Vue

FastAPI

Django

Flask

PostgreSQL

AWS

GCP

Azure

Job description

GIC is seeking a VP, AI Engineer to build and operationalize AI-driven investment systems with both front-end and back-end components. You will optimize data workflows, deploy robust applications, and collaborate across product and AI teams.

A strong background in full-stack development and AI passion is required for this leadership role. The position offers a mix of in-office and remote work, with responsibilities spanning scalable UI/UX and scalable backend services, plus emphasis on tests,