Junior AI Architect Teacher (m ,f, d)

Who we are:

neuefische GmbH, with our brands neuefische and Spiced Academy , has been Germany’s leading tech bootcamp provider for over ten years. Our programs create opportunities for people to launch fulfilling careers while driving the digital skills transformation across Germany.

To date, over 7,000 participants have trained with us, and around 70% start working in tech immediately after the bootcamp. With 40% female participation , our courses not only build skilled professionals but also foster greater diversity in the tech industry. Many programs conclude with certifications from renowned partners such as IHK, Amazon, and CompTIA .

Our vision: To transform lives by equipping people with the skills, confidence, and support they need to succeed in tech—online and on campus, in both German and English.

Role Overview

As a Junior AI Architect Teacher , your role is to introduce students to the foundational concepts, tools, and practices required to develop and understand modern AI-powered applications and systems. You are responsible for delivering clear, structured instruction while creating an engaging, supportive, and hands-on learning environment.
You guide students through the fundamentals of AI engineering, Python, APIs, LLMs, prompt engineering, data preparation, AI application architecture, Retrieval-Augmented Generation (RAG), AI agents, databases, deployment, and responsible AI practices. You balance theoretical concepts with practical implementation and real-world projects.
Working closely with senior instructors, coaches, teaching assistants, and the academic team, you contribute to curriculum delivery, student assessment, project supervision, and continuous improvement of the learning experience.

1. Teach AI fundamentals — Deliver 2–3 lessons weekly covering Python, APIs, LLMs, prompt engineering, RAG, agents, databases, cloud, ML, and responsible AI.

2. Provide technical mentoring — Help students debug and troubleshoot Python, GitHub, APIs, databases, LLM tools, cloud platforms, Docker, and development environments.

3. Support curriculum delivery — Follow lesson plans, assist senior instructors, prepare exercises and demos, and adapt teaching to student needs.

4. Teach AI architecture & systems thinking — Help students understand how components connect and make informed trade-offs around cost, quality, speed, scalability, security, and reliability.

5. Guide practical AI development — Lead students through building chatbots, RAG systems, AI assistants, search tools, automation workflows, and agent-based applications from problem definition through deployment.

6. Support student learning & progress — Identify knowledge gaps, provide constructive feedback, encourage independent problem-solving, and monitor individual development.

7. Supervise projects and capstones — Help students define scope, select technologies, design architecture, build prototypes, evaluate systems, document decisions, and prepare presentations.

8. Assess and manage academic progress — Review assignments, GitHub repositories, projects, attendance, daily protocols, and development records while communicating concerns and achievements to the instructional team.

9. Engage and communicate with students — Provide support in classrooms, online sessions, Discord, chats, and Q&A channels while maintaining an inclusive and collaborative learning environment.

10. Contribute to continuous improvement — Collaborate with instructors and coaches, improve curriculum materials, stay current with AI technologies and industry practices, and promote responsible, secure, and ethical AI development.
    

What you should bring

• Strong interest in AI, software development, and emerging technologies .

• Solid knowledge of Python, APIs, Git/GitHub, databases, and LLMs .

• Understanding of prompt engineering, RAG, AI agents, and AI architecture .

• A hands-on, problem-solving mindset and ability to troubleshoot technical challenges.

• Strong communication and mentoring skills , with a passion for helping others learn.

• Ability to think in terms of cost, quality, scalability, security, and reliability .

• Willingness to learn continuously, collaborate, and stay up to date with AI developments .

• Commitment to responsible and ethical AI development .

What We Offer

30 days holiday

Lovely Campus in Berlin

‍ An opportunity to join one of the fastest-growing companies in Tech-Education

A platform to grow as a part of a team of dedicated professionals

Multinational, passionate (and fun) working environment
Connection and Networking we give you plenty of opportunities to connect with people and boost collaboration

Pet-friendly environment

Hybrid work policy

* Even if you feel like ticking only 60% of the requirements, we would still like to review your application. At neuefische, we attach great importance to equal opportunities and respectful cooperation. All applicants should be valued equally - regardless of gender and gender identity, nationality, ethnic origin, religion or belief, disability, age, sexual orientation and identity. We value diversity and we are committed to integration and diversity.