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. Strong 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.