Software Engineering Intern

**Type:** Internship **Location:** Singapore Remote-friendly **Eligibility:** Undergraduate students currently in their **2nd or 3rd year** (Sophomore or Junior) **About the Role** ------------------ We build AI-native software products designed to solve real business problems. This is not a traditional internship where you work on isolated tasks. You will partner directly with business stakeholders, take ownership of projects from idea to delivery, and help build practical AI-powered tools and workflows used by real users. We are looking for builders — people who enjoy turning ideas into working products and are excited about applying AI to real-world challenges. **What You’ll Do** ------------------ * Own projects end-to-end: scope, build, test, iterate, and ship * Work directly with business stakeholders to translate requirements into software solutions * Design and implement AI-powered workflows, tools, and automations * Build and integrate applications using LLMs, APIs, agents, and AI frameworks * Evaluate prompts, models, and AI outputs to improve reliability and usability * Document solutions and continuously improve them based on feedback **Requirements** ---------------- * Currently pursuing a Bachelor’s degree in Computer Science, Software Engineering, AI, or a related field * Undergraduate student in Year 2 or Year 3 (Sophomore or Junior preferred) * Strong Python programming skills * Experience building or experimenting with LLM-based applications, AI agents, RAG systems, automations, or AI workflows * Able to work independently and drive tasks to completion with limited supervision * Strong problem-solving ability and willingness to learn quickly * Good written and verbal English communication skills **Nice to Have** ---------------- * Experience shipping personal projects, hackathon projects, or open-source contributions * Familiarity with Git, GitHub, and modern software development workflows * Experience with AI tools and frameworks such as OpenAI APIs, Claude, LangChain, CrewAI, AutoGen, or similar * Exposure to cloud platforms and deployment tools * Interest in finance, operations, SaaS, or business automation **What You’ll Learn** --------------------- * End-to-end project ownership: from requirements to deployment * Practical AI engineering: tool selection, prompt design, evaluation, and iteration * How to work effectively at the intersection of business and engineering * Building and shipping AI-powered software in a production context