Expert for AI Course (Russian Speaker)

This is a remote position.

Negentrix Holding is an educational company with a mission to help people integrate into Germany through practical education and employment.

We operate three schools — IT Career Hub, DWW Akademie, and Beam Institute of Technology — where we train students for in-demand professions and support them all the way from choosing their career path to securing their first job.

Our audience consists of people for whom German is not their native language, but Germany is their new home. We know how to help them become part of society and succeed professionally.

Our team:

We pride ourselves on our friendly and collaborative atmosphere, where every team member is valued and makes a meaningful contribution to the success of our company.

Our team is made up of highly qualified EdTech professionals who bring their knowledge and experience to create superior educational programs and inspire our students.

Our students are future developers, analysts, UX/UI designers preparing to enter the German job market. They need to understand how IT teams operate, communicate, and deliver products in real companies.

• Develop the curriculum for the course “Implementing AI in Business Processes”, including lesson structure and clearly defined, measurable learning outcomes;

• Maintain the program’s relevance in line with current AI trends and advancements, in collaboration with the academic team;

• Create educational materials and supporting resources to enhance the quality of learning.

Requirements

• Proven experience launching AI products from hypothesis through implementation in real business processes;

• At least 2 years of experience as a Project Manager in AI-focused startups or in roles such as:

AI Integration Engineer

• Deep understanding of LLM limitations, including hallucinations, response instability, context constraints, and the ability to manage quality through product mechanisms (metrics, UX constraints, architectural decisions), not just code-level solutions;

• Ability to calculate and optimize AI economics, including token usage, cost per request, scalability considerations, and translating system load into financial impact;

• Architectural understanding of the AI stack, including RAG, Vector Databases, LangChain, and similar tools — at the level of solution design and architectural decision-making (witho