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 chance 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 - AI Engineer / GenAI | Part - Time (India)
🏢 Masai
📍 India