AI Engineer - Fresh Grad to Build Real AI Solutions

KAPLAN HIGHER EDUCATION ACADEMY PTE. LTD.; Singapore; On-site; SGD 42,000 - 78,000; Full time

Job summary

Kaplan Higher Education Academy PTE. LTD. is seeking an AI Engineer to join our IT team in Singapore. You will build AI prototypes and production features, integrating LLMs via OpenAI, Azure OpenAI, Amazon Bedrock, or similar services, and develop backend APIs using Python and TypeScript.

Fresh graduates or engineers with up to two years of experience will gain hands-on exposure to RAG, embeddings, vector search, and tool calling, while ensuring quality, reliability and safety across deployments.

Qualifications

• 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.

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.

Skills

Python programming

Software engineering fundamentals

Generative AI

LLMs / OpenAI APIs

APIs

Databases

Git

Cloud platforms

React/Next.js

Job description

Kaplan Higher Education Academy PTE. LTD. is seeking an AI Engineer to join our IT team in Singapore. You will build AI prototypes and production features, integrating LLMs via OpenAI, Azure OpenAI, Amazon Bedrock, or similar services, and develop backend APIs using Python and TypeScript.

Fresh graduates or engineers with up to two years of experience will gain hands-on exposure to RAG, embeddings, vector search, and tool calling, while ensuring quality, reliability and safety across deployments.