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ByteByteGo Newsletter

Why An LLM’s Memory Gets Expensive and How to Fix It LLM Security Basics: The Full Threat Model Hiring: Part Time Instructor, Write Production Grade Code with AI A Detailed Guide to Idempotency, Delivery Semantics, and Deduplication How ChatGPT Optimizes its Agent Loop: Harness, API, and Inference Why DoorDash, Instacart, and Uber Eats Integrated LLMs Into Search Three Different Ways How NVIDIA Builds Open Models for the Age of AI A Beginner’s Guide to Clocks, Causality, and Ordering in Distributed Systems Best Practices for Building AI Agents That Work in Production Inside Roblox’s Bet on World Models MCP vs A2A vs ACP: How AI Agents Actually Talk to Each Other A Guide to Multi-Tenancy: Benefits and Challenges AI Customer Support at Scale: The Travel Industry’s $Billion Bet How LLMs Learn to Be Helpful (RLHF vs DPO) How Microsoft Ships AI Agents at Enterprise Scale EP221: How Docker Works Under the Hood LAST CALL FOR ENROLLMENT: Become an AI Engineer - Cohort 7 Streaming vs Batch: Two Philosophies of Data Processing The Agent Loop: How AI Goes From Answering Questions to Doing Things ChatGPT vs Gemini vs Claude: How They Differ LAST CALL FOR ENROLLMENT: Become an AI Engineer - Cohort 7 Proof of Human: How to Verify a Person Is Real and Unique Multi-Region Architecture: Going Global Without Going Broke How OpenAI Delivers Low-Latency Voice AI for 900M Users Inside Thinking Machines’ Interaction Models How AI Agents Manage Memory and Avoid Forgetfulness EP220: RAG vs Graph RAG vs Agentic RAG Top Anti-Patterns to Avoid in Service Architecture Large Language Models vs Small Language Models An Ex-Meta L8’s Agentic Engineering Setup
Love Teaching? ByteByteGo Is Hiring Part-Time AI & Engine...
ByteByteGo · 2026-06-10 · via ByteByteGo Newsletter

We’re looking for multiple part-time instructors to teach AI and engineering cohort-based live courses.

This is a great fit if you love teaching, enjoy sharing what you know, and want a meaningful side thing alongside your main work.

The role has some upfront time investment to get familiar with the curriculum and prepare, but after that, it’s designed to be a limited commitment (2-5 hours bi-weekly). It offers stable income, good upside, and a chance to share your knowledge while working with ambitious learners.

We’re especially looking for instructors in:

- Building Production-Grade AI Systems

- System Design

- AI Security & LLM Red-Teaming

- AI Evals Intensive

- AI Cost Optimization

- Agentic AI Coding

- Build with Codex

- AI for Engineering Leaders

- AI Automation

- Others, please suggest

Ideal instructors are hands-on, clear communicators, and excited to teach.

If this sounds like you, email us at jobs@bytebytego.com with your background, the topics you’d be excited to teach, and any teaching, writing, or speaking samples.

Got someone in mind for any of these topics? We’d appreciate the intro. Thank you.

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