Industry Mentor - AI Engineer / GenAI | Part - Time
MasaiAbout 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
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Conduct live mentoring sessions and technical office hours covering AI Engineering, Generative AI, LLMs, and industry best practices.
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Guide learners in building LLM applications, RAG systems, AI agents, chatbots, and AI automation workflows.
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Review learners' code, projects, architectures, and GitHub portfolios and provide actionable feedback.
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Mentor learners on Python, APIs, LLM integration, prompt engineering, embeddings, vector databases, and RAG.
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Guide learners on model selection, evaluation, fine-tuning, deployment, and optimization.
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Help learners understand real-world AI engineering practices including scalability, latency, cost, security, and reliability.
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Conduct technical assessments, mock interviews, and project reviews to prepare learners for AI/ML and GenAI roles.
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Help learners troubleshoot technical challenges and improve the quality of their projects.
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Collaborate with curriculum and product teams to improve AI/GenAI projects and assignments.
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Track learner progress and maintain mentorship records.
Skills & QualificationsMust-Have
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Hands-on experience building AI/ML or Generative AI applications.
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Strong proficiency in Python.
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Experience working with LLMs and GenAI APIs/frameworks such as OpenAI, Gemini, Claude, Hugging Face, LangChain, or LlamaIndex.
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Strong understanding of RAG, embeddings, vector databases, prompt engineering, and LLM evaluation.
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Experience building AI applications using APIs, backend frameworks, or cloud platforms.
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Practical experience deploying AI/ML solutions.
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Prior experience in mentoring, teaching, training, or technical coaching.
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Strong communication skills and the ability to explain complex concepts in a simple and practical way.
Preferred
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Experience building AI Agents / Agentic AI applications.
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Experience with LangChain, LlamaIndex, LangGraph, or similar frameworks.
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Familiarity with Docker, MLOps, CI/CD, and cloud platforms.
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Experience with AWS, GCP, or Azure.
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Knowledge of PyTorch, TensorFlow, or Scikit-learn.
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Experience with NLP, Computer Vision, or multimodal AI.
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Experience conducting AI/ML technical interviews.
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Experience reviewing AI/GenAI projects, resumes, or GitHub portfolios.
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Experience building and deploying production-grade AI/GenAI solutions.
Engagement & Benefits
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Part-time, flexible engagement designed for working professionals.
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Remote opportunity across India.
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Opportunity to mentor learners building job-ready AI and GenAI applications.
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Opportunity to contribute to AI/GenAI curriculum and hands-on projects.
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Competitive mentor compensation.
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Collaborative environment with experienced instructors and industry professionals.