AI Engineering Intern

**Location:** Singapore **Duration:** Minimum 6 months **About the Role** CloudMile is looking for an **AI Engineering Intern** to help design, build, and deploy Generative AI applications and machine learning solutions for real-world business use cases. You will gain hands-on experience across the AI application lifecycle—from data preparation and model development to backend integration, evaluation, and cloud deployment. Projects may involve **large language models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, conversational AI, and machine learning models** . This role is ideal for someone who wants to move beyond experimentation in notebooks and develop practical, production-ready AI applications. **Key Responsibilities** * Design and develop **Generative AI applications** , including RAG systems, AI agents, enterprise search, and conversational AI solutions. * Build, train, evaluate, and improve **machine learning models** for use cases such as classification, prediction, recommendation, and natural language processing. * Develop and integrate AI services using **Python** and backend frameworks such as **FastAPI** . * Work with LLM frameworks and tools such as **LangChain, LangGraph, Vertex AI, and Dialogflow** . * Perform data preparation, feature engineering, vector embedding, semantic search, and model evaluation. * Develop effective prompts and improve LLM responses through prompt engineering, retrieval optimization, and evaluation. * Support the development of end-to-end AI applications, including integration with frontend applications built using **React or Next.js** . * Deploy and operate AI workloads on **Google Cloud** , using services such as Vertex AI, BigQuery, Cloud Run, and Cloud Storage. * Collaborate with engineers to prototype, test, document, and deploy AI features. * Research emerging AI technologies and assess their suitability for enterprise use cases. **Requirements** * Currently pursuing a **Bachelor’s or Master’s degree** in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related discipline. * Strong programming foundation in **Python** . * Practical experience with at least one of the following: * Building Generative AI or LLM-powered applications * Developing or evaluating machine learning models * Creating APIs or backend services * Familiarity with fundamental machine learning concepts, including training, validation, evaluation metrics, and model performance. * Basic understanding of LLMs, RAG, prompt engineering, or conversational AI. * Comfortable using **Git** and working in a collaborative development environment. * Strong analytical and problem-solving skills, with the ability to learn new technologies quickly. * Able to work independently while collaborating effectively with a technical team. **Nice to Have** * Experience with **FastAPI, React, Next.js, LangChain, LangGraph, or Dialogflow** . * Familiarity with machine learning frameworks such as **scikit-learn, PyTorch, or TensorFlow** . * Experience with embedding models and vector databases such as **FAISS, Pinecone, Weaviate, or pgvector** . * Exposure to **Google Cloud** , Docker, Kubernetes, CI/CD, MLOps, or model deployment. * Experience evaluating LLM applications for accuracy, groundedness, safety, latency, and cost. * Previous AI-related internships, academic research, hackathons, personal projects, or open-source contributions. * A portfolio or GitHub repository demonstrating AI or software development projects. **Why Join CloudMile?** * Work on real-world AI projects with experienced AI and cloud engineers. * Gain practical experience building **end-to-end, production-ready AI applications** . * Learn how Generative AI and machine learning solutions are designed and deployed in enterprise environments. * Gain exposure to modern AI frameworks and Google Cloud technologies. * Receive mentorship, technical guidance, and opportunities to develop your engineering skills. * Work in a collaborative, dynamic, and supportive regional team. If you are passionate about AI and enjoy turning ideas and models into working applications, we would love to hear from you.