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