As AI continues to evolve rapidly, the skills and experience required for AI engineers are also changing. With new AI tools and technologies emerging all the time, it’s becoming increasingly difficult for employers to determine what experience and skills are necessary for success in AI.
One example is the emergence of ChatGPT, Midjourney, and Runway tools. While these tools offer exciting new possibilities for AI engineers, they still need to be widely adopted. This raises questions about what it will look like to interview an AI Prompt engineer who has just learned to use these tools. It’s more than just AI engineers who will be using these tools. Non-technical individuals can quickly learn these skills and seek employment with organizations that align with their values.
This means that employers will need to be prepared to look for AI engineers with experience and skills in these new tools and provide training and support to non-technical individuals who may be using them as part of their job. This can include customer service representatives using chatbots or marketing professionals using AI-generated content.
One challenge for employers is determining what experience and skills are necessary to use these new tools successfully. Will employers look for engineers with specific training or certification in these tools, or will they focus on overall AI knowledge and experience? Will candidates need to demonstrate proficiency in these tools on their CV, or will general AI experience be enough?
Ultimately, the emergence of new AI tools and technologies raises essential questions about what experience and skills are necessary for success in AI. While it’s likely that employers will continue to value general AI knowledge and experience, proficiency in specific tools such as ChatGPT, Midjourney, Bard, and Runway will become increasingly important. As for candidates, demonstrating an ability to adapt to new tools and technologies and a willingness to continue learning will likely be key to success.
Conclusion
In conclusion, the emergence of new AI tools and technologies presents challenges and opportunities for employers and candidates. While technical skills will continue to be essential for AI engineers, non-technical individuals can also learn and use these tools as part of their job. Employers who are prepared to provide training and support to individuals using these tools and who value innovation and a willingness to learn will likely have an advantage in the competitive job market.