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 .