AI Agent Course Creator (short Term)

Job Title AI Agent Developer (Course Co-Creator – Advanced Modules 11–15) Short term, fulltime, remote - one month, $1.5K Stipend Graduate students or M.S. graduates are welcome to apply. Why You Should Apply • Co-create the most advanced and hands-on Agentic AI course available • Contribute to frameworks, system design, and deployment-focused modules • Gain public credit as a course co-creator on major platforms like Udemy and Google Classroom • Work remotely with a flexible schedule and milestone-based compensation • Strengthen your portfolio with real-world, LLM-powered agent systems and projects About Us We are a course development team building best-in-class technical training in AI, automation, and agentic systems. Our programs focus on hands-on skill-building, with practical projects, walkthroughs, and deployment-ready content. We are expanding our advanced course titled “Agentic AI Development with Python”, aimed at Python developers looking to build and scale intelligent AI agents using LLMs. You will join as a co-creator for the final five modules, focused on advanced system design, orchestration, and production deployment. Curriculum ScopeThe full course consists of 15 modules.The first four modules are complete:Modules 1–4 (Completed): 1. Prompt Engineering Foundations 1. No-Code Agent Building Tools 1. Beginner Agent Use Cases 1. Introduction to LangChain & Frameworks Modules 5–10 – Assigned to Another Course Creator:5. Agent Memory: Types and Implementation6. Retrieval-Augmented Generation (RAG)7. LangChain and LangGraph Workflows8. Autonomous and Multi-Agent Systems9. Function Calling and API Integration10. Vector Stores, Embeddings, and RetrievalModules 11–15 – Your Responsibility in This Role:11. Advanced LangChain Patterns and Templates12. CrewAI and AutoGen Frameworks13. Capstone Project – Build and Deploy a Multi-Agent System14. Agent Deployment and Hosting15. Scaling and Managing Agents in Production / Enterprise SettingsThese modules will involve deep dives into agent orchestration frameworks, integration into enterprise environments, and performance optimization. You will design both the instructional material and the accompanying hands-on coding projects, including a capstone. Responsibilities • Co-design and develop Modules 11–15 • Build advanced projects using LangChain, AutoGen, and/or CrewAI • Create lecture scripts and record concise video explanations • Implement reusable agent templates and orchestration pipelines • Design and document the Capstone Project with step-by-step builds • Prepare GitHub repositories, deployment-ready code, and exercises • Collaborate with the core team for structure, reviews, and feedback Key Details Location: Remote Engagement: Paid contract (milestone-based) Duration: 4–6 weeks Time Commitment: ~8–10 hours/week (flexible) Compensation: Competitive, based on quality and scope of deliverables Candidate Profile We are looking for a highly capable developer or ML engineer with: • Experience deploying multi-agent LLM systems using LangChain, AutoGen, or CrewAI • Deep understanding of LLM reasoning, tool use, agent orchestration, and enterprise-grade architectures • Proficiency in Python, Git, and containerized deployments (Docker/FastAPI preferred) • Prior work with capstone projects, LLM apps, or teaching technical content (preferred) You should be comfortable building complete projects from scratch and explaining them clearly to learners.