Junior AI Engineer (Fullstack of AI development)

Who is our client?Our client is a well-established global technology leader with a strong presence in Thailand. They specialize in delivering comprehensive digital workplace solutions, including IT services, document management, and advanced office technologies. With decades of experience, they are committed to driving innovation and empowering businesses to work smarter through cutting-edge technology and sustainable practices.About the roleWe are looking for a Junior AI Engineer (Fullstack) who loves building real products, experimenting with AI technologies, and turning ideas into practical solutions. In this role, you will work across AI development, full-stack engineering, cloud deployment, and MLOps, contributing to AI-powered platforms used by real customers. This role is ideal for early-career engineers who want to grow into full-stack AI engineers; combining software engineering, machine learning, and cloud technologies in a hands-on environment.This role is for Thai national only.In this role, you will:Develop and improve AI-powered features such as RAG pipelines, OCR, STT/TTS, and LLM-based tools.Prototype rapidly to test ideas and turn validated concepts into production-ready features.Build and maintain scalable APIs and web applications that integrate AI capabilities using modern frameworks like React, Next.js, Node.js, or FastAPI.Support the deployment and operation of machine learning models, including data collection, labeling, and quality assurance.Deploy AI services on cloud platforms (AWS, GCP, Azure) and apply basic automation using Infrastructure-as-Code tools.Monitor and improve system reliability through logging, alerting, and performance dashboards.Work collaboratively in an agile, cross-functional team and communicate clearly with both technical and non-technical stakeholders.Contribute to continuous improvement, code quality, and best practices across engineering and AI development.You’ll be a great fit if you have:0–2 years of experience in Software Engineering, AI/ML Engineering, or related fields. Fresh graduates with strong projects or internships are welcome.Good understanding of ML fundamentals and familiarity with libraries like Scikit-learn, Pandas, TensorFlow, PyTorch, LangChain, LlamaIndex, or similar.Experience with modern web frameworks (e.g., React, Next.js, Node.js, FastAPI).Basic experience with cloud services (AWS / Azure / GCP).Familiarity with Docker or containerization (nice-to-have).