AI Engineer: Build Real-World Generative AI Apps

Kaplan; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

Kaplan in Singapore is seeking an AI Engineer to build and deploy practical AI solutions. You will work hands-on with LLMs, APIs and cloud technologies to turn cutting-edge AI into real-world applications.

This role suits fresh graduates or early-career engineers eager to deepen technical skills and contribute from prototype to production. You will gain experience with retrieval-augmented generation, embeddings and tool calling, while improving AI quality, safety and deployment.

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

APIs

Databases

Git

LLMs

Cloud platforms

React/Next.js

Internships/Projects

Tools

OpenAI API

Azure OpenAI

Bedrock

TypeScript

Job description

Kaplan in Singapore is seeking an AI Engineer to build and deploy practical AI solutions. You will work hands-on with LLMs, APIs and cloud technologies to turn cutting-edge AI into real-world applications.

This role suits fresh graduates or early-career engineers eager to deepen technical skills and contribute from prototype to production. You will gain experience with retrieval-augmented generation, embeddings and tool calling, while improving AI quality, safety and deployment.