Ai Integreated Python Fullstack Trainer/Tutor

About Techolas Technologies

Techolas Calicut is recognized as one of the best software training institutes in Kerala, offering industry-focused IT courses that transform students into job-ready professionals. With a strong commitment to practical learning, live projects, and corporate-style training, Techolas bridges the gap between academic education and real-world IT industry requirements.

Role Overview

We are seeking passionate Python Full Stack Trainers with expertise in AI integration to join our dynamic training team. Whether you're a fresh graduate with strong technical foundation or an experienced developer, we welcome enthusiastic individuals who are committed to teaching and mentoring the next generation of developers. You will deliver industry-oriented, hands-on training that prepares students for careers in modern full-stack development and the rapidly evolving AI-powered application landscape. We provide mentorship and professional development support to help trainers grow in their teaching careers.

Key Responsibilities :

Frontend Development Training

• Deliver instruction on HTML5, CSS3, and responsive design using Tailwind CSS
• Teach JavaScript fundamentals through advanced concepts including ES6+, async/await, and DOM manipulation
• Guide students through TypeScript implementation for type-safe applications
• Instruct React with TypeScript, including hooks and custom hooks development
• Teach state management using Redux Toolkit, Tanstack query and Context API
• Introduce Next.js for full-stack React applications with server-side rendering and API routes
• Guide component architecture, styling, and performance optimization

Backend Development Training

• Teach Python programming fundamentals, OOP concepts, and best practices
• Guide Django and Django REST Framework for building REST APIs
• Instruct FastAPI for modern async web frameworks
• Teach PostgreSQL database design, SQL queries, and relationships
• Guide frontend-backend integration, API authentication (JWT, OAuth2), and security fundamentals
• Instruct CRUD operations, RESTful principles, error handling, and API testing

AI Integration & Modern Technologies

• Teach LLM fundamentals and API integration with OpenAI GPT and Anthropic Claude
• Guide multimodal AI applications including vision inputs and structured outputs
• Instruct prompt engineering best practices including system prompts and chain-of- thought reasoning
• Teach streaming responses, token counting, and cost estimation for AI APIs
• Guide embeddings and vector database basics (Pinecone, ChromaDB, pgvector)
• Instruct Retrieval-Augmented Generation (RAG) pipelines and document processing
• Teach conversational AI systems with memory management Guide AI agents, tool use, and function calling patterns Introduce LangChain and LlamaIndex frameworks

DevOps, Tools & Best Practices

• Guide Git/GitHub workflows and collaborative development
• Teach Docker basics and containerization concepts
• Instruct testing frameworks including pytest and React Testing Library
• Guide monitoring and logging concepts using Sentry and LangSmith
• Teach system design fundamentals and architectural thinking

Teaching & Mentoring

• Deliver engaging classroom and online training sessions with practical demonstrations
• Explain concepts through real-world examples, coding exercises, and case studies
• Conduct hands-on coding sessions guiding students in building applications
• Design and evaluate assignments, assessments, and technical projects
• Mentor students through projects and provide constructive feedback
• Identify learning gaps and provide targeted support
• Support students with interview preparation and technical assessments
• Maintain documentation of progress and student performance
• Stay updated with current technologies and industry trends
• Required Core Skills Minimum Required Knowledge (All Candidates):
• Strong foundation in Python programming (fundamentals to OOP)
• Solid understanding of HTML, CSS, and JavaScript
• Knowledge of at least one backend framework (Django or FastAPI)
• Experience with React or similar frontend frameworks
• Understanding of SQL and relational databases (PostgreSQL)
• Familiarity with Git and version control
• Basic knowledge of LLM APIs and AI concepts
• Tailwind CSS and modern CSS practices
• Desirable Skills (For Growth & Preference):
• TypeScript and modern React patterns (Hooks, Redux)
• Next.js and full-stack application development
• FastAPI and async Python programming
• RAG systems and vector databases
• Prompt engineering and multimodal AI
• Docker and basic DevOps concepts
• Testing frameworks (pytest, React Testing)

A+ Bonus Skills (Highly Valued):

• n8n workflow automation platform
• Advanced RAG implementations and optimization
• LangChain and LlamaIndex experience
• Sentry and LangSmith observability tools
• AWS services and cloud deployment
• Previous teaching, mentoring, or content creation experience

Candidate Requirements For Freshers / Early Career:

• Bachelor's degree in Computer Science, IT, Engineering, or related field (recent graduates preferred)
• Strong academic projects or portfolio demonstrating full-stack development skills
• Hands-on experience with Python backend and React/JavaScript frontend through projects or internships
• Familiarity with AI/LLM APIs through coursework or personal projects
• GitHub profile or portfolio showcasing practical projects

Common Requirements (All Candidates):

• Excellent communication skills with ability to explain technical concepts clearly
• Strong problem-solving and debugging abilities
• Genuine passion for teaching, learning, and mentoring students
• Eagerness to stay current with rapidly evolving technologies
• Ability to work collaboratively in a team environment

Application Question(s):

• Do you Know malayalam
• Do you have prior experience in teaching

Work Location: In person