About The Opportunity We are looking for an experienced AI Engineer / GenAI Industry Mentor to coach and upskill learners building practical, industry-ready AI and Generative AI solutions. The ideal candidate will have hands-on experience building and deploying AI/GenAI applications, strong communication skills, and the ability to simplify complex technical concepts while guiding learners through real-world projects. Role & Responsibilities
• Conduct live mentoring sessions and technical office hours covering AI Engineering, Generative AI, LLMs, and industry best practices.
• Guide learners in building LLM applications, RAG systems, AI agents, chatbots, and AI automation workflows.
• Review learners' code, projects, architectures, and GitHub portfolios and provide actionable feedback.
• Mentor learners on Python, APIs, LLM integration, prompt engineering, embeddings, vector databases, and RAG.
• Guide learners on model selection, evaluation, fine-tuning, deployment, and optimization.
• Help learners understand real-world AI engineering practices including scalability, latency, cost, security, and reliability.
• Conduct technical assessments, mock interviews, and project reviews to prepare learners for AI/ML and GenAI roles.
• Help learners troubleshoot technical challenges and improve the quality of their projects.
• Collaborate with curriculum and product teams to improve AI/GenAI projects and assignments.
• Track learner progress and maintain mentorship records. Skills & QualificationsMust-Have
• Hands-on experience building AI/ML or Generative AI applications.
• Strong proficiency in Python.




• Experience working with LLMs and GenAI APIs/frameworks such as OpenAI, Gemini, Claude, Hugging Face, LangChain, or LlamaIndex.
• Robust understanding of RAG, embeddings, vector databases, prompt engineering, and LLM evaluation.
• Experience building AI applications using APIs, backend frameworks, or cloud platforms.
• Practical experience deploying AI/ML solutions.
• Prior experience in mentoring, teaching, training, or technical coaching.
• Strong communication skills and the ability to explain complex concepts in a simple and practical way. Preferred
• Experience building AI Agents / Agentic AI applications.
• Experience with LangChain, LlamaIndex, LangGraph, or similar frameworks.
• Familiarity with Docker, MLOps, CI/CD, and cloud platforms.
• Experience with AWS, GCP, or Azure.
• Knowledge of PyTorch, TensorFlow, or Scikit-learn.
• Experience with NLP, Computer Vision, or multimodal AI.
• Experience conducting AI/ML technical interviews.
• Experience reviewing AI/GenAI projects, resumes, or GitHub portfolios.
• Experience building and deploying production-grade AI/GenAI solutions. Engagement & Benefits
• Part-time, flexible engagement designed for working professionals.
• Remote opportunity across India.
• Opportunity to mentor learners building job-ready AI and GenAI applications.
• Opportunity to contribute to AI/GenAI curriculum and hands-on projects.
• Competitive mentor compensation.
• Collaborative environment with experienced instructors and industry professionals.

Skills:
mentoring,teaching,genai,artificial intelligence

📌 Industry Mentor (India)
🏢 Masai
📍 India