Cohort Course Name: Building Production AI Systems

This cohort is focused on one of the hardest problems in modern engineering. Taking AI systems from impressive demos to reliable, secure, production ready systems used by real users.

Our learners already understand generative AI concepts. What they want and need is engineering rigor. How to evaluate models properly. How to ship safely. How to scale without blowing up cost or reliability. How to operate AI systems in the real world.

This role is for someone exceptional who has done this work in production and wants to help shape the future of AI engineering education.

Role Type: Part time remote (20+ hours per week), with the possibility of converting to full time

Compensation: Very Competitive

Responsibilities

• Develop and maintain a curriculum centered on ai production
• Design labs/assignments. Keep them runnable with modern tooling
• Teach live sessions (lecture + hands-on lab)
• Run weekly office hours
• Provide clear feedback on assignments and async questions

Required expertise

Production AI Engineering

• You have shipped and maintained AI features used by thousands of users. You have "war stories" regarding outages, cost spikes, or quality regressions.
• Deep understanding of the FastAPI + Pydantic + Celery/Redis stack for handling asynchronous AI tasks.
• Can articulate the nuances between Latency vs. Cost and Reliability vs. Velocity.

AI Evals

• experience in evaluating AI systems like LLMs, RAGs, Agents, or image/video generation models)
• Ability to explain standard metrics and design eval datasets (golden, adversarial, regression)