Teaching Assistant | AI Engineering & Generative AI | Part - Time

Masai School, in academic collaboration with a premier institute, is looking for an experienced Teaching Assistant – AI Engineering & 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 & Generative AI
Time Commitment: 6–8 hours per week

Key ResponsibilitiesTeaching & 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.

  
  

Technical & 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.

  
  

Project & 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.

  
  

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.

  
  

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.

  
  

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.

  
  

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.