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AI Studio Coach

Remote · Poland Full-time

Agentic AI Coach About Break Through Tech Break Through Tech transforms how tech talent is discovered, developed, and connected to opportunity in the age of AI. Working across higher education and industry, Break Through Tech delivers programs nationwide and integrates technical training, work-based learning, mentorship, and career readiness with deep employer partnerships to create more effective and scalable routes into early tech careers. Break Through Tech is actively shaping the field of early tech talent development by identifying what works, translating those insights into replicable models, and helping define more consistent approaches to how talent is prepared, assessed, and hired across institutions and employers. At a moment when AI is reshaping every aspect of work and society, Break Through Tech’s mission is urgent: to ensure that the people who build what comes next — and who are in the room where the most consequential technology decisions of our time get made — look like the world they will shape. Learn more about our work at www.breakthroughtech.org/ Position Summary We are seeking several subject matter experts to partner with Break Through Tech program staff to deliver our Agentic AI programs for up to 500 undergraduate fellows. Agentic AI is offered at two levels, Beginner and Advanced. Coaches will be matched to a level based on their experience with Agentic AI and staffing needs. For a long time, chatbots were the biggest thing in AI. Now companies are building them into something more powerful: agents that work together to plan, use tools, hand off work, and take action. That shift is creating fast-growing demand for engineers who can design, evaluate, and deploy these systems. The new 16-week Agentic AI program builds on fellows' foundation in machine learning and Python. Many have completed our rigorous 9-week Machine Learning Foundations course and a 3-month industry-sponsored AI project. Fellows learn to build agents, extend them with tools and knowledge, measure how well they perform, and ship systems that hold up in production. With expert guidance and support from their Coaches, fellows will work in teams to build agents from ideation onward. They will build agentic systems in LangGraph, stress-test them with systematic evaluations, trace every decision in LangSmith, and use what they learn to make their systems faster, cheaper, and more reliable. They will then

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