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

Masai
2 days ago
Part-time
On-site
India
Generative AI

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.