大模型正在重构技术开发范式 ， 传统CRUD开发模式正在被AI原生应用取代！ 2025开年，AI技术打得火热，正在改变程序员的职业命运： 阿里云核心业务全部 接入Agent体系 ； 字节跳动30%后端岗位要求 大模型开发能力 ； 腾讯、京东、百度开放招聘技术岗， 80%与AI相关 …… 最残忍的是，业务面临转型，领导要 求用RAG优 化知识库检索，你不会；带AI团队，微调大模型要准备多少数据，你不懂；想转型大模型应用开 发工程师等相关岗，没项目实操经验…… 这不是技术焦虑，而是职业生存危机！ 曾经热门的开发框架、大数据工具等，已不再是就业的金钥匙。 如果认为 会调用API就是懂大模型、能进行二次开发，那就大错特错了。 制造、 医疗、金融等各行业都在加速AI应用落地，未来企业更看重能用AI大模型技术重构业务流的技术人。 如今技术圈降薪裁员频频爆发，传统岗位大批缩水，相反 AI相关技术岗疯狂扩招 ，薪资逆势 上涨150% ，大厂老板们甚至开出 70-100W 年 薪，挖掘AI大模型人才！ 不出1年 "有AI项目开发经验"或将成为技术人投递简历的门槛。 风口之下，与其像"温水煮青蛙"一样坐等被行业淘汰，不如先人一步 ...

Core Viewpoint - The article emphasizes the importance of mastering AI large model capabilities for programmers to remain competitive in the job market, as companies are increasingly focusing on AI applications and those with AI skills are seeing significant salary increases and job opportunities [2][20]. Group 1: AI Skills and Job Market - Many programmers are still relying on outdated skills, while those integrating large models into their workflows are becoming more valuable [2][14]. - Companies are prioritizing AI applications, leading to a demand for programmers skilled in large models, with salary increases exceeding 50% for those who adapt [2][18]. - The article promotes an "AI Large Model - Employment Practical Camp" aimed at enhancing technical skills and career prospects in just two days [5][20]. Group 2: Course Content and Benefits - The course includes technical principles, practical project replication, and career planning, designed to bridge the gap from zero to one in AI large model application development [2][10]. - Participants will receive a job-seeking package that includes internal referrals, interview materials, and knowledge graphs [6][16]. - The course will cover the use of RAG and fine-tuning techniques to improve the application of large language models, along with real-world case studies [7][10]. Group 3: Career Development and Opportunities - The course aims to help programmers connect with product and business teams, build technical barriers, and avoid job insecurity, especially for those over 35 [14][18]. - Insights into current hiring trends, salary expectations, and career development paths will be provided from the perspective of hiring managers [18][20]. - The article highlights that many participants have successfully transitioned to higher-paying roles after completing the course [18].

Core Viewpoint - The article emphasizes the urgency for technology professionals to adapt to the rapid development and application of AI, particularly large models, as traditional roles face salary cuts and layoffs while demand for AI talent surges [1]. Group 1: AI Application Trends - The current job market shows a significant shift, with many traditional tech roles being eliminated while companies are actively hiring AI model talent at high salaries, such as 60K*16 [1]. - There is a low entry barrier for AI application roles, where candidates need to meet capability requirements rather than age restrictions [1]. - Experience in front-end and back-end development is particularly valuable in the deployment of large models, enhancing the accuracy of applications like RAG [1]. Group 2: Skills and Knowledge Requirements - Professionals with vertical domain experience can better identify pain points for model deployment, combining technical and business knowledge [1]. - The necessity of AI tools for enhancing work efficiency has become a requirement for 80% of companies [1]. - Companies like Alibaba and ByteDance are prioritizing candidates with AI model experience, making it essential for job seekers to fill knowledge gaps in AI [1]. Group 3: Training and Development Opportunities - A training program is being offered to help individuals master AI model technology and improve their career prospects [3][4]. - The program includes live sessions covering typical business scenarios, technical architecture, and core principles of AI models like RAG and Transformer [3]. - Participants will receive practical experience through project simulations, which can be added to their resumes to enhance job prospects [11]. Group 4: Career Advancement and Networking - The training will provide insights into current hiring trends in major companies, including job roles, salaries, and career development paths from an interviewer's perspective [6]. - There are opportunities for internal referrals and direct hiring, increasing the chances of securing high-paying offers [6][8]. - The program has successfully helped over 20,000 students, many of whom have secured high-paying job offers [16].

Core Viewpoint - The article emphasizes the urgency for technology professionals to adapt to the rapid growth of AI applications, highlighting the need for skills in AI model development and application to avoid job displacement and to seize high-paying opportunities in the industry [1][2]. Group 1: Industry Trends - The demand for AI talent is surging, with major companies like Alibaba and ByteDance actively hiring AI model developers while simultaneously laying off traditional tech roles [1]. - There is a growing consensus among large firms regarding the urgency of accelerating AI application deployment, shifting focus from traditional coding skills to AI model experience [1][2]. Group 2: Learning Opportunities - The article promotes a free training program aimed at equipping participants with AI model application development skills, emphasizing the importance of understanding AI principles, application technologies, and practical project experience [2][4]. - The training includes live sessions with industry experts, covering typical business scenarios, technical architecture, and core principles of AI model technologies such as RAG, Agent, and Transformer [2][11]. Group 3: Career Development - The program offers insights into current job market trends for AI model roles, including salary expectations and career progression strategies from the perspective of hiring managers [6]. - Participants will have access to internal referral opportunities, enhancing their chances of securing high-paying job offers directly from major companies [6][8]. Group 4: Practical Application - The training includes hands-on experience with popular AI applications, allowing participants to build a portfolio of practical projects that can be showcased in job applications [8][11]. - The course aims to bridge the gap between technical knowledge and real-world application, helping participants to effectively implement AI solutions in various business contexts [4][11].