People-Oriented · Employee Growth

In the new era where AI is redefining software production, ChinaSoft International always regards employee growth as the first principle of organizational evolution, building a solid foundation for enterprise development through systematic talent cultivation, and fulfilling the educational responsibility and industrial commitment of a technology enterprise.

The company has established a dual-layer empowerment architecture of "AI Strategic Reserve Team + Vibe Learning Talent Development Platform", constructing a tiered training system of "Natural Experts, Trainable Talents, and Outstanding Learners": for core management and technical backbones, we forge composite FDE pioneer talents leading AI transformation through high-intensity immersive BootCamp training models; for all development and testing positions, we create progressive courses at elementary, intermediate, and advanced levels, achieving standardized AI capability upgrades for all employees through a four-dimensional closed-loop model of "Training + Assessment + Practice + Evaluation", relying on self-developed technical platforms to connect the full chain from theoretical learning to practical implementation.

We are committed to enabling every employee to continuously evolve in the human-machine co-intelligence organizational ecosystem, growing into "creators who harness AI", driving the company's "One Body, Two Wings" strategy with endogenous talent momentum, while simultaneously delivering high-quality AI talents to the digital economy industry, empowering industry intelligent transformation through talent development.

AI Strategic Reserve Team

ChinaSoft International AI Strategic Reserve Team is the company's core talent engine for anchoring the new era of intelligent agents and implementing the "One Body, Two Wings" core strategy, and is also our benchmark project for deeply cultivating technology education and forging AI backbone forces for the digital industry.

The project breaks the shackles of traditional cramming classroom training, adhering to the core cultivation philosophy of "master craftsmen going to the front lines, real projects for actual combat training", selecting top backbone talents from all business segments of the group, and building a full-cycle integrated talent development system of cognitive reshaping — platform empowerment — track-specific cultivation — practical tempering through high-intensity immersive BootCamp training models.

Around three core tracks of management business, technical engineering, and functional efficiency, we tailor differentiated training paths for Class X, Class Y, and Class Z. Relying on self-developed enterprise-level intelligent agent development infrastructure and massive real business scenarios, we systematically promote the transformation and upgrading of traditional business and technical backbones, growing into composite FDE core talents who are deeply engaged in business, good at innovation, and proficient in AI implementation.

All trainees use real customer projects as combat positions, quickly transforming training knowledge into business efficiency solutions and commercially deployable intelligent agent prototypes. Internally, we consolidate the talent foundation for the group's full-scenario, full-stack AI transformation; externally, we continuously deliver high-standard composite AI backbone talents to the digital industry; driving industry-wide intelligent upgrading through systematic talent cultivation, fully demonstrating the mission and social responsibility of a leading technology enterprise.

Vibe Learning Talent Development Platform

To adapt to the wave of AI technology development and build a solid foundation for enterprise digital talent, the company has launched the Vibe Learning Talent Development Platform project. The project establishes a complete curriculum system at elementary, intermediate, and advanced levels, focusing on AI Coding core technologies, customizing differentiated teaching content for development and testing positions, connecting the full learning chain from theoretical learning, tool mastery, to practical implementation, and precisely matching position growth needs.

The project innovatively adopts a four-dimensional closed-loop training model of "Training + Assessment + Practice + Evaluation", relying on the self-developed Gnu JF platform to achieve full-process digital closed-loop management for learning, practice, and assessment, with real business scenarios as the core driver for practical teaching. Currently, the first phase of elementary training courses has been successfully launched, covering more than 700 employees.

The project balances enterprise strategic upgrading and employee career growth, batch-cultivating standardized AI intent engineer talents, and improving internal talent reserves. Empowering the enterprise's AI strategic transformation through autonomous talent cultivation, fulfilling the innovation responsibility of technology enterprises, and continuously empowering the enterprise's long-term development.