Industry Mentor - AI Engineer / GenAI | Part - Time

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.
Skills: mentoring,teaching,genai,artificial intelligence

Work arrangement
Yes