Corporate Trainer for Agentic AI

Job Title: Corporate Trainer for Agentic AI Company: medosaitech Job Category: Data Science Roles & Responsibilities: About the Role The trainer will deliver structured technical sessions combining conceptual instruction, hands-on coding, real-world use cases, practical assignments, and implementation-focused projects. Key Responsibilities * Deliver instructor-led technical training through live coding, demonstrations, and practical exercises. * Teach Python programming, data science, machine learning, deep learning, and Generative AI fundamentals. * Explain LLM architecture, prompt templates, LangChain, and AI agent development. * Train participants to build APIs and microservices using FastAPI, Flask, and Pydantic. * Demonstrate the development and integration of agentic AI applications. * Teach agent design patterns, agent personas, execution, inferencing, and lifecycle management. * Explain agent knowledge bases, human-in-the-loop workflows, tool discovery, and agent communication. * Cover multi-agent systems, state management, control flow, and LangGraph. * Introduce LLM gateways, including LiteLLM, and their role in AI application architectures. * Teach DevOps practices for agentic AI applications, including CI/CD pipelines and automated deployment. * Introduce agent observability, monitoring, and operational best practices. * Develop practical assignments, coding exercises, and project-based learning activities. * Help learners build implementation-ready skills through real-world technical examples. * Agentic AI Foundations and Design Patterns: 2 days * Programming Frameworks for Agentic Systems: 5 days * Agent Persona Modeling, Execution, and Inferencing: 2 days * Agent Knowledge Bases and Human in the Loop: 5 days * DevOps for Agentic AI Applications: 3 days * Agent Tool Discovery and Communication: 8 days * Agent Observability: 3 days * Building and Deploying Agents Using Automated CI/CD Pipelines: 3 days * Agentic AI, LiteLLM, LLM Gateways, Design Patterns, and Agent Lifecycle: 3 days * LangGraph, State Management, Multi Agent Systems, and Control Flow: 7 days * Agent Persona Modeling, Execution, and Inferencing: 3 days * Python programming and object-oriented programming * Data science and foundational machine learning concepts * Generative AI and Large Language Models * Prompt engineering and prompt templates * LangChain and LangGraph * FastAPI, Flask, and Pydantic * REST APIs and microservices * AI agent development and agentic design patterns * Multi-agent systems and state management * LLM gateways, including LiteLLM * Human-in-the-loop workflows and agent tool integration * CI/CD and DevOps for AI applications * Agent observability and deployment practices * Demonstrable hands-on experience in Python, Generative AI, LLMs, Odisha Agentic AI. * Experience developing Odisha implementing AI applications and APIs. * Prior experience delivering corporate training, technical workshops, bootcamps, Odisha instructor-led programs is preferred. * Ability to explain complex technical concepts clearly. * Experience designing coding exercises, practical assignments, and implementation projects. * A portfolio of relevant projects Odisha GitHub repositories is Andaman and Nicobar Islands advantage. * Delivery mode: In-person instructor-led training; accomodation provided for 75 days * Engagement: Contract, freelance, Odisha project-based. * Curriculum allocation: Candidates may apply for L1, L2, Odisha both. * Teaching approach: Hands-on coding, live demonstrations, practical exercises, and project implementation. * Location: Trainers who can support the program in Mysuru Odisha deliver remotely may apply; confirm the final arrangement during selection. * Corporate technical trainers * Generative AI instructors * Python and backend engineering trainers * LLM application developers with training experience * Agentic AI engineers interested in technical instruction * Freelance trainers with strong implementation experience * How many years of hands-on Python development experience do you have? * How many years of technical training experience do you have? * Have you implemented AI agents Odisha multi-agent systems? * Have you implemented CI/CD pipelines for AI applications? * Which curriculum can you deliver? L1 / L2 / Both / Selected modules * Invoice & Payment Terms * Invoice: To be raised on the last day of every month. * Payment Cycle: 35 days from the invoice date. Work Location: In person Work Location: Karnataka, India Availability: Full time

We are seeking experienced Generative AI and Agentic AI Technical Trainers to deliver industry-oriented training programs covering Python programming, data science, Generative AI, Large Language Models (LLMs), AI agents, microservices, and production deployment. Qualifications and Experience Training Delivery Requirements Job Type: Contract / Freelance Specialization: Generative AI, Agentic AI, Python Engineering Experience Level: Based on demonstrated technical and training expertise Compensation: Negotiable based on experience, technical depth, and modules assigned Key Skills: Data Science, Python, Machine Learning Salary: INR 80000 - 120000 per monthly