AI-Native Application Engineer

Wilmar International; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

Wilmar International seeks an AI-Native Application Engineer to design, build, and maintain business applications across web, API, and integration layers, using Java, .NET Core, and TypeScript.

You will leverage AI-assisted coding tools to accelerate delivery, implement AI-powered features, and ensure code quality through reviews, testing, and documentation.

Qualifications

• Bachelor's degree in CS/SE or related field.
• 3–6 years producing production apps in Java, .NET Core (C#), and/or TypeScript.
• Hands-on with AI-assisted coding tools and prompting.
• Strong OOP, REST/GraphQL design, databases, testing.
• Experience with Spring Boot/ASP.NET Core/React/Angular/Node.js.
• CI/CD and containerisation experience.

Responsibilities

• Design, build, and maintain business apps and services in Java, .NET Core, and TypeScript.
• Use AI-assisted coding tools as a core part of daily workflow to speed delivery.
• Apply prompt engineering and review discipline to AI-generated code.
• Build AI-powered features into existing applications and APIs.
• Integrate apps with backend services, databases, and data models.
• Follow EA and Tech leadership standards for AI development.
• Write automated tests and contribute to CI/CD pipelines.
• Troubleshoot and optimise performance in test/production environments.
• Participate in enablement sessions and knowledge sharing on AI practices.
• Document work clearly with comments and technical notes.

Skills

Java

C#

TypeScript

AI-assisted coding

OOP

REST API

GraphQL

Databases

CI/CD

Docker

Spring Boot

React

Angular

Node.js

English

Education

Bachelor's degree in Computer Science or Software Engineering

Tools

GitHub Copilot

Claude Code

Cursor

Docker

Job description

Wilmar International runs a broad landscape of business applications — internal tools, web and mobile applications, APIs, and system integrations — built primarily in Java, .NET Core, and TypeScript. As an AI-Native Application Engineer, you will design, build, and maintain these applications, using AI-assisted coding tools (e.g., GitHub Copilot, Claude Code, Cursor) as a core part of your everyday workflow to design, code, test, debug, and document faster and to a higher standard. You will also develop AI-powered features and lightweight AI applications within our business systems — integrating LLM APIs, embedding AI assistants, and applying intelligent automation — bringing AI capabilities directly into the products you build.

Key Responsibilities

• Design, build, and maintain business applications and services in Java, .NET Core, and TypeScript, spanning web, API, and integration layers.
• Use AI-assisted coding tools as a core part of your daily workflow — code generation, refactoring, test generation, and documentation — to increase delivery speed without compromising code quality.
• Apply effective prompt engineering and review discipline to get reliable, high-quality output from AI coding assistants, and critically review AI-generated code before it ships.
• Build AI-powered features into business applications — such as integrating LLM APIs, embedding AI assistants, or adding intelligent automation — to enhance existing Java, .NET Core, and TypeScript applications.
• Integrate applications with backend services, APIs, and databases, contributing to API and data model design within the existing enterprise architecture.
• Follow the architecture, security, and coding standards set by Enterprise Architecture and Technical Development leadership, including standards for AI-assisted development.
• Write automated tests and contribute to CI/CD pipelines to support fast, reliable releases.
• Troubleshoot, debug, and optimise application performance in test and production environments.
• Participate in enablement sessions and knowledge-sharing on AI-assisted development practices, and apply what’s shared in your own delivery work.
• Document your work clearly — code comments, technical notes, and handover documentation — whether AI-assisted or hand-written.

Required Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, or a related field.
• 3–6 years of software engineering experience building and shipping production applications in Java, .NET Core (C#), and/or TypeScript.
• Daily, hands-on experience with AI-assisted coding tools (GitHub Copilot, Claude Code, Cursor, or similar), with strong instincts for prompting, reviewing, and correcting AI-generated code.
• Solid software engineering fundamentals — OOP and design patterns, REST/GraphQL API design, relational and/or NoSQL databases, version control, and automated testing.
• Practical experience with relevant frameworks (e.g., Spring Boot, ASP.NET Core, React, Angular, or Node.js) for your primary stack.
• Familiarity with CI/CD pipelines and containerisation (e.g., Docker).
• Ability to critically evaluate AI-generated code for correctness, security, and maintainability, rather than accepting suggestions uncritically.
• Strong problem-solving skills and the ability to work independently on well-scoped features.
• Working proficiency in English; Mandarin language skills are an advantage given regional stakeholder collaboration.

Preferred Qualifications

• Experience building AI-powered application features using LLM APIs or GenAI services (e.g., Azure OpenAI, AWS Bedrock, Google Vertex AI).
• Exposure to cloud platforms (Azure, AWS, or GCP).
• Experience in agribusiness, manufacturing, supply chain, or FMCG is a plus.
• Familiarity with Agile/Scrum delivery practices.
• Genuine curiosity about new AI developer tools and enthusiasm for experimenting with them as they emerge.