AI-driven software outsourcer scaling cloud and automation capabilities
Techvify is a 501–1,000-person software outsourcing firm headquartered in Hanoi, Vietnam, built around full-stack web and mobile development (React, Angular, Node.js, Spring, native iOS/Android). The tech stack breadth—spanning cloud (AWS, Azure, GCP), databases (PostgreSQL, MySQL, MongoDB), and modern frameworks—reflects a services-first model serving both startups and enterprises. Recent project activity shows a deliberate pivot toward AI: LLM applications, RAG pipelines, and AI-powered test automation are active workstreams, while Go adoption signals backend engineering maturity. Hiring remains engineering-heavy with senior-level roles dominating, but Japan market entry and client acquisition challenges suggest sales constraints on revenue scaling.
Notable leadership hires: Marketing Lead
Techvify delivers custom software development, mobile apps, and cloud architecture to startups and mid-market enterprises. The company operates as an offshore development center with delivery hubs in Vietnam, the Philippines, and Japan. Core services span full-stack web (React, Angular, Node.js, Spring Boot), native and cross-platform mobile (iOS, Android, React Native, Flutter), and cloud infrastructure (AWS, Azure, GCP). Recent project focus includes data platforms, EV charging systems, and AI-powered automation testing—indicating expansion beyond traditional outsourcing into intelligent software products. The organization is engineering-centric, with active hiring across development, quality assurance, and sales roles to support regional growth and client acquisition.
Techvify's primary stack includes React, Angular, Node.js, Spring, Java, C#, .NET, and native development in Swift and Kotlin. Backend databases are MySQL, PostgreSQL, and MongoDB. Cloud platforms span AWS, Azure, and GCP. Docker containerization and Git version control are standard. The team is adopting Go for backend work.
Active projects include AI integration, LLM applications, RAG pipeline creation, EV charging platform development, cloud infrastructure architecture, and AI-powered test automation solutions. Internal focus areas include legacy system integration, data governance, backend scalability, and improving test coverage and delivery timelines.
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