Key Responsibilities
- Design and create comprehensive, hands-on course material (lectures, labs, projects, assessments) covering the full lifecycle of AI agents.
- Ensure content reflects the latest advancements in LLMs, prompt engineering for agents, multi-agent frameworks, and responsible AI practices.
- Instruction and Training:
- Deliver engaging and effective instruction to diverse audiences (internal teams, external clients, academic students) through various modalities.
- Provide expert guidance on best practices for designing an agent's Reasoning, Planning, Tool Use, and Memory components.
- Mentor learners on advanced topics like Multi-Agent Collaboration and system orchestration using frameworks like LangChain, LangGraph, or AutoGen.
- Agent Development Support:
- Assist in setting up and troubleshooting agentic development environments, including integrating agents with APIs, databases, and cloud platforms
- Develop demonstration agents and complex project examples for hands-on learning.
- Evaluation and Feedback:
- Assess learner proficiency and provide constructive feedback on agent design and implementation projects.
- Continuously gather feedback to refine and improve training programs and materials.
- Technical Expertise:
- Maintain deep expertise in the evolving landscape of agentic AI, generative models, and relevant developer tools.
Job Type: Full-time
Pay: From Rs50,000.00 per day
Education:
Work Location: In person