AI infrastructure and MLOps services for offshore development teams
Cube System Vietnam operates a full-stack development and AI services business built on modern cloud and ML tooling. Their tech mix—PyTorch, TensorFlow, LangChain, Qdrant, FastAPI, and RAG pipelines—paired with active projects in LLM inference and MLOps optimization reveals a company pivoting toward AI workloads. Engineering-heavy hiring (10 of 11 open roles) against slowing velocity suggests they're scaling to meet demand, while their documented pain points (cross-team collaboration, project estimation, AI infrastructure scaling) indicate they're managing the operational friction typical of teams moving from traditional services into AI-native delivery.
Cube System Vietnam provides software development and AI services to clients in distribution, finance, and telecommunications, building on a regional heritage tracing back to 1972 in Japan. The Vietnam subsidiary, established in 2008, operates from Ho Chi Mihn City with 51–200 employees. Their service portfolio spans mobile and web development (iOS, Android, JavaScript, React, Next.js), backend systems (.NET, Java, Python, PostgreSQL), and increasingly, AI infrastructure (LLM inference services, RAG pipelines, MLOps). Current project work centers on data warehouse construction, CI/CD pipeline development, and offshore AI solution deployment, serving customers who need both traditional application development and emerging AI capabilities.
Core languages: Java, C#, PHP, Python, JavaScript. Cloud/infra: AWS, Azure, Docker, Kubernetes, GitLab CI/CD, Jenkins. AI/ML: PyTorch, TensorFlow, Keras, LangChain, Hugging Face Transformers, Qdrant (vector DB), vLLM, MLflow. Databases: PostgreSQL. Frameworks: Angular, React, Next.js, FastAPI, Flask.
Active projects: data warehouse environment builds, MLOps pipeline optimization, LLM inference services, RAG pipeline implementation, CI/CD development, mobile and web application development, project estimation frameworks, and AI solution deployment for offshore clients.
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