Software Engineer Intern

Codex Solutions; Singapore; On-site; SGD 16,740 - 27,900; Full time

Job summary

A technology company in Singapore is offering a full-time internship for a Software Engineer Intern to explore and integrate AI technologies. Interns will design, develop, and test AI-driven applications, enhancing corporate automation. Ideal candidates are pursuing a degree in Computer Science or a related field and have an interest in software development and AI integration. The internship provides hands-on experience with emerging technologies and methodologies in the software engineering domain.

Qualifications

• Pursuing a degree in Computer Science or related field.
• Experience with programming languages and APIs.
• Basic understanding of AI concepts and systems.

Responsibilities

• Design and prototype software applications incorporating AI technologies.
• Build and test AI-powered software components.
• Collaborate with teams to identify business areas for AI improvements.
• Support full lifecycle of software and AI implementation.

Skills

Experience with AI technologies

Commercial programming languages

API integration

Prompt engineering

Education

Currently pursuing a degree in Computer Science or related field

Tools

AI frameworks

Generative AI

Job description

Job Description

[2026 Internship] Software Engineer Intern

Duration: Full-time Internship (6-month period)

At Codex Solutions, we’re on a mission to explore what’s next in AI — building smart systems that automate, enhance, and inspire.

As a Software Engineer, you’ll be part of a hands‑on team experimenting with AI technologies while applying core software engineering fundamentals to design, build, and test real systems. You’ll work at the intersection of software development and applied AI, learning how modern AI capabilities are engineered into reliable, maintainable applications.

You’ll get to explore, prototype, and implement AI‑driven solutions that streamline work, amplify human capability, and bring real value to the organisation. If you enjoy writing code, breaking problems down into logical components, and turning ideas into working software, this internship is for you.

Why This Matters

AI is changing how organisations operate — automating routine tasks, enabling smarter decisions, and freeing people to focus on what truly matters.

This internship gives you the opportunity to apply software engineering principles to AI‑enabled systems, designing and building tools that support corporate automation while learning how real‑world software is developed, tested, and improved over time.

What to Expect

• Design, develop, and prototype software applications that incorporate AI technologies such as Generative AI, Agentic AI, and automation frameworks, with a focus on corporate process automation.
• Build and test intelligent systems such as AI‑powered software components such as assistants, workflow bots, APIs, and automation services to improve internal operations.
• Collaborate with cross‑functional teams to identify high‑impact business areas where AI can drive efficiency and innovation.
• Develop and refine AI‑enabled workflows, including prompt design, LLM integration, and retrieval‑augmented generation (RAG) pipelines.
• Support the full lifecycle of end‑to‑end software and AI implementation from ideation and proof‑of‑concept to testing, deployment, and continuous improvement.
• Stay curious about emerging AI and software development trends, sharing insights and experimental findings with the wider team.

Job Requirements

During the internship, you will get to learn and experience:

• How to apply software engineering fundamentals (modular design, basic architecture thinking, debugging, and testing) when building AI‑enabled systems.
• Hands‑on experience experimenting with different AI models, APIs, and frameworks, and integrating them into working software applications.
• The fundamentals of Generative AI and Agentic AI, and how they can be applied to solve real business challenges.
• Practical skills in coding, API integration, AI prototyping, and prompt engineering, with exposure to how AI systems fit into existing applications and workflows.
• An introduction to responsible, secure, and ethical AI development, including awareness of data handling and system limitations.