AI Engineering Intern

Gain hands-on experience building and deploying production-ready Generative AI applications.

🎯 About the Role

CloudMile is seeking an AI Engineering Intern to design, build, and deploy Generative AI applications and machine learning solutions for real-world business use cases. You will gain practical experience across the entire AI application lifecycle, from data preparation to cloud deployment, working with technologies like LLMs, RAG, and AI agents.

🛠️ Key Responsibilities

• 🚀 Design and develop Generative AI applications including RAG systems and AI agents.
• 🧠 Build, train, and evaluate machine learning models for various use cases.
• 🔗 Develop and integrate AI services using Python and backend frameworks like FastAPI.
• 📚 Work with LLM frameworks such as LangChain and Vertex AI.
• 📊 Perform data preparation, feature engineering, and model evaluation.
• 💡 Develop effective prompts and improve LLM responses through prompt engineering.
• ☁️ Deploy and operate AI workloads on Google Cloud.

✅ Requirements & Skills

• 🎓 Currently pursuing a Bachelor’s or Master’s degree in a related technical discipline.
• 🐍 Strong programming foundation in Python.
• 💡 Practical experience in Generative AI, ML models, or API development.
• 📚 Familiarity with fundamental machine learning concepts.
• 🔗 Comfortable using Git and working in a collaborative environment.
• 🧠 Strong analytical and problem-solving skills.

🎁 Perks & Benefits

• 🚀 Work on real-world AI projects with experienced engineers.
• 🔧 Gain practical experience building end-to-end AI applications.
• ☁️ Learn about enterprise AI deployment and Google Cloud technologies.
• 🤝 Receive mentorship and technical guidance.
• 🌍 Work in a collaborative, dynamic, and supportive regional team.

💰 Allowance: 2000 SGD

⏳ Duration: Minimum 6 months

📍 Location: Singapore

📩 How to Apply

Please submit your application via the careers portal.