System Design for AI Agents, for Engineers (2026)

Hosted by Ehsan Gazar

Thu, Jun 18, 2026

6:00 PM UTC (30 minutes)

Virtual (Zoom)

Free to join

Invite your network

Go deeper with a course

From Senior to Staff: Master the Architecture Skills That Get You Promoted
Ehsan Gazar
View syllabus

What you'll learn

Tell normal distributed systems from genuinely new

Spot which parts of an agent system are old problems you already solve and which break your assumptions.

Name the decisions that matter with an LLM in the path

Boundaries, state, failure modes, and evaluation: the calls that decide whether it works in production.

Reason about reliability and cost like a Staff engineer

Handle non-determinism, retries, latency, and token cost as first-class design constraints, not afterthoughts.

Why this topic matters

Every team is wiring an LLM into production, and most guidance is written for product managers, not the engineers who have to make it reliable. The result is senior engineers shipping agent systems on instinct. This session gives you the engineer's mental model: what's ordinary distributed-systems work, what genuinely breaks, and the few decisions that decide whether it survives real traffic.

You'll learn from

Ehsan Gazar

Principal Engineer, 500+ mentees, 16 years in production

I'm a Principal Engineer with 16 years of experience building and scaling production systems across fintech, SaaS, and enterprise software. I've made hundreds of real architectural decisions in systems that had to survive real traffic, incidents, and org politics.

I've run 500+ mentorship sessions with senior engineers at a 5.0 rating, helping them close the gap between writing code and thinking at the architectural level. I've also taught 10,000+ students and distilled what separates engineers who get promoted from those who stay stuck.

I'm not an academic. Every framework here comes from real decisions or mistakes I had to recover from. I’ll teach you to think like a Principal Engineer: not “what’s the right answer,” but “what are the trade-offs, and what survives contact with reality.”

See all products from Gaz

Sign up to join this lesson

By continuing, you agree to Maven's Terms and Privacy Policy.