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Марія БровінськаWork
5 November 2025, 12:51
2025-11-05
In Ukraine, they are looking for a superjunior with no work experience, because the employer "has not yet become a trend and is even considered condemned in some prehistoric companies." What should be done and how much do they pay?
RPA ASSETS is looking for a super junior for $2,500. We tell you what tasks the specialist will face.
RPA ASSETS is looking for a super junior for $2,500. We tell you what tasks the specialist will face.
«We are looking for engineers who grew up in the AI era, work with it correctly, and know how to create a finished product with its help under the guidance of a super-master who will ensure the correct architecture,» says the job description on Djinni.
Among the specialist’s responsibilities is to sell products using LLM.
«Work experience is not required — it has not yet become a trend here and is even considered condemned in some prehistoric companies,» the salesperson notes.
The test task is not paid and can be of two types:
Independent — the candidate receives access to the repository with the architecture and independently completes the task within two days.
With help, the candidate gets access to a mentor and has a maximum of 2 weeks to pass the test.
«You can be able to write code at the most basic level. But debugging code and fixing errors requires a lot of attention,» the job description says.
Required experience with skills — over a year of using AI Cursor, AI Agents, AI Prompt Engineering.
The candidate must also be a native speaker of Ukrainian.
There are two such vacancies posted. And each one already has dozens of reviews.
The company description on Djinni says that it is hiring a startup to create digital twins of office workers, which received a grant from Google.
According to information on the company’s website, the employer already has three employees.
Recall that the title of super junior was recently introduced thanks to OpenAI. OpenAI has begun actively hiring not only seniors, but also so-called «super juniors» — young AI-native engineers who use AI tools so effectively that they surprise even experienced colleagues.
«Beginners learn to assemble something ‘on their knees’ and consider it the norm.» An experienced engineer explained the key dangers of vibecoding and why experience, structure, and code purity are already becoming currency
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