On a mission to make tech careers accessible to everyone, no matter their financial or educational backgrounds.

Masai

Masai School, in academic collaboration with a premier institute, is looking for an experienced&nbsp;Teaching Assistant – AI Engineering &amp; Generative AI to support learners enrolled in an online AI program.
As a Teaching Assistant, you will work closely with learners to help them understand AI Engineering and Generative AI concepts, solve technical doubts, debug code, and build practical AI applications.
This is a great opportunity for AI and GenAI professionals who enjoy teaching, mentoring, problem-solving, and helping others build real-world AI solutions.
Institution: Masai School, in academic collaboration with a premier institute Program: Artificial Intelligence &amp; Generative AI Time Commitment: 6–8 hours per week

Key ResponsibilitiesTeaching &amp; Doubt Resolution
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Conduct weekly doubt-solving and tutorial sessions.
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Help learners understand AI Engineering, Generative AI, LLMs, and Python concepts.
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Simplify complex technical concepts using practical examples.
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Support learners with coding challenges, assignments, and AI projects.
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Help learners troubleshoot and debug their implementations.
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Technical &amp; AI Support
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Guide learners in building LLM-powered applications, chatbots, RAG systems, and AI agents.
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Support learners with prompt engineering, embeddings, vector databases, APIs, and model integration.
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Help learners understand AI model selection, evaluation, and optimization.
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Guide learners on integrating AI models into applications using Python and APIs.
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Help learners understand basic deployment and production considerations.
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Project &amp; Industry Support
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Help learners build practical AI/GenAI projects and portfolios.
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Review learner code, projects, notebooks, and GitHub repositories.
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Provide actionable technical feedback to improve project quality.
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Share real-world AI Engineering and GenAI use cases.
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Guide learners on industry-standard tools, frameworks, and development practices.
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Help learners understand concepts such as RAG, AI agents, LLM evaluation, and AI application architecture.
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Learner Engagement
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Provide regular feedback and technical guidance to learners.
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Encourage learners to actively participate in sessions and discussions.
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Track learner progress and highlight technical challenges to the academic team.
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Support learners in completing projects and overcoming technical blockers.
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Contribute feedback to improve the learning experience and course delivery.
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Candidate Requirements Must Have
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2+ years of hands-on experience in AI/ML, AI Engineering, or Generative AI.
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Strong Python programming skills.
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Practical experience building AI/ML or GenAI applications.
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Good understanding of LLMs, prompt engineering, embeddings, and APIs.
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Hands-on experience with tools/frameworks such as OpenAI, Gemini, Hugging Face, LangChain, LlamaIndex, or similar technologies.
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Understanding of RAG, vector databases, and AI application workflows.
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Experience with Git and development environments such as Jupyter.
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Prior experience in teaching, mentoring, training, or technical support.
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Strong communication skills and the ability to explain technical concepts clearly.
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Good to Have
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Experience building AI Agents / Agentic AI applications.
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Experience with LangGraph, LangChain, LlamaIndex, or similar frameworks.
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Familiarity with Docker, cloud platforms, APIs, and deployment workflows.
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Experience with AWS, GCP, or Azure.
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Knowledge of PyTorch, TensorFlow, or Scikit-learn.
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Experience with NLP, Computer Vision, or multimodal AI.
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Experience reviewing AI/GenAI projects or GitHub portfolios.
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Experience mentoring students, developers, or early-career professionals.
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Why Join Us?
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Make a direct impact on learners building careers in AI Engineering and Generative AI.
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Help learners build practical, industry-relevant AI applications.
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Work remotely with a flexible 6–8 hours per week commitment.
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Collaborate with Masai School and a premier academic institution.
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Share your industry experience while developing your teaching and mentoring skills.
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Stay connected with rapidly evolving AI and Generative AI technologies.
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