VNPT is transforming from a traditional telecommunications operator into a digital services provider, with engineering hiring concentrated in AI/ML infrastructure. The tech stack reveals heavy investment in LLM tooling (LangChain, LlamaIndex, LangGraph, RAG) alongside vector databases (Pinecone, Weaviate, pgvector) and ML ops platforms (Langfuse, Helicone), suggesting active experimentation with generative AI products. Hiring velocity is accelerating across 85 roles, heavily weighted toward junior engineering (50 of 85), indicating a ramp-up in AI/ML execution rather than foundational platform work.
Notable leadership hires: Project Director
VNPT Group is Vietnam's leading telecommunications and digital services provider, operating as a state-owned enterprise with over 70 years of market presence. The company serves more than 20 million mobile subscribers, 11 million fixed broadband users, and 10 million fixed-line customers across all 63 Vietnamese provinces. VNPT is actively pivoting its business model away from legacy telecom toward digital and IT services, with current product initiatives spanning AI-driven TV services, identity verification (eKYC), smart vision systems, and conversational AI bots. The organization operates from Hanoi with 10,001+ employees.
VNPT uses Azure, AWS, and GCP for cloud infrastructure, Python and TypeScript for core development, and a modern AI/ML stack: LangChain, LlamaIndex, LangGraph, Pinecone, Weaviate, pgvector, Langfuse, and Helicone. Infrastructure is managed via Kubernetes, Docker, and Terraform.
Active projects include AI model integration for TV services, VNPT eKYC (digital identity), VNPT SmartVision, VNPT SmartBot (conversational AI), and monitoring/alerting systems. The company is also developing a design system and security prevention solutions.
VNPT Group's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.