Artificial Intelligence Engineer

THE ROLE: AI Engineer
Join our IT team and help build practical AI solutions that turn emerging technologies into real-world applications. As an AI Engineer, you will work hands-on with large language models (LLMs), APIs and modern cloud technologies to develop and support AI-enabled applications.

This is an exciting opportunity for a fresh graduate or early-career engineer who is keen to deepen their technical skills, experiment with the latest developments in generative AI, and gain practical experience building AI solutions from prototype through to production.

Key Responsibilities:

•  Build AI prototypes and production features.
• Integrate LLMs using OpenAI, Azure OpenAI, Amazon Bedrock or similar services.
• Develop APIs and backend services, preferably in Python / Typescript.
• Work with retrieval-augmented generation (RAG), embeddings, vector search and tool calling.
• Test and evaluate AI quality, reliability and safety.
• Support deployment, monitoring and optimization.

Qualifications & Skills

•  Fresh graduate or up to two years of relevant experience.
• Strong Python and software engineering fundamentals.
• Exposure to generative AI and LLM applications.
• Understanding of APIs, databases and Git.
• Familiarity with cloud platforms is desirable.
• React or Next.js experience is an advantage.
• Internships, university projects and strong personal AI projects are considered relevant experience.

Other Information:

• Working Hours: Monday to Friday, 9am to 6pm.
• Work Arrangements: On-site
• Location: Wilkie Edge

Skills

Internships, API Development, Graduate Recruitment, Git, Retrieval-Augmented Generation (RAG), Development of Prototypes, Amazon Bedrock, Extensive Work Experience, Post Deployment Support, Azure OpenAI, TypeScript, Google Cloud Platform, Software Engineering, JavaScript, AI Evaluation, Generative AI Innovation, Research and Development, and Innovation Management