Python Trainer - Full Stack and Generative AI

Python Full Stack & Generative AI Trainer

Location: Chennai
Work Mode: Work from Office
Experience: 24 Years
Employment Type: Full-Time
Working Hours: 9:00 AM 6:00 PM
Joining: Immediate

About Our Client

Our client is a technology and workforce development organization focused on building industry-ready technology talent through hands-on training, digital learning and AI-focused programs. They work with educational institutions to deliver industry-relevant technology learning.

Job Overview

Our client is looking for a Mid-Level Trainer Python Full Stack & Generative AI to teach and mentor college students at a university campus in Chennai. The role involves delivering classroom and hands-on training in Python, Full Stack Development, AI, ML and Generative AI, along with project mentoring and assessments.

Key Responsibilities

• Deliver instructor-led training in Python, AI, Generative AI, ML and Data Science.
• Conduct hands-on labs, workshops, case studies and live demonstrations.
• Develop course content, lab exercises, projects, presentations and assessments.
• Mentor students on real-world projects and problem-solving.
• Conduct examinations, project assessments and provide constructive feedback.
• Guide students on platforms such as Kaggle, HackerRank and LeetCode.
• Conduct doubt-clearing and remedial sessions.
• Introduce practical concepts such as RAG, Agentic AI and MCP.
• Maintain student attendance, assessment and learning-progress records.
• Promote responsible and ethical use of AI tools.
• Stay updated with emerging AI and education technologies and incorporate relevant concepts into training.

Required Skills & Experience

• 2–4 years of experience in Python, FastAPI and Full Stack Development.
• Experience with Django or Single Page Applications.
• Experience in AI/GenAI development using LangChain, LlamaIndex or similar frameworks.
• Strong understanding of RAG, Agentic AI and MCP.
• Good cloud experience including application deployment and cloud resource management.
• Strong knowledge of Data Structures & Algorithms and RDBMS.
• Understanding of System Design, design principles and patterns.
• Experience with HTML, CSS, JavaScript, TypeScript and Angular, React or Vue.js.
• Hands-on experience in cloud-native application development.
• Strong communication, training and facilitation skills.
• Experience creating training content, hands-on labs and projects.
• Ability to explain complex technical concepts to students effectively.

Good to Have

• Experience in a technology services or product company.
• Exposure to NoSQL databases.
• Industry experience in AI/ML, Data Science or Generative AI.
• Relevant AI/ML certifications.
• AI-related research, blogs or conference presentations.