AI Engineer

The Hidden Costs of Building Your Own RAG Stack — Ofer Vectara

Building Multi agent Systems with Finite State Machines

Where AI is superhuman: The right jobs to automate with LLMs

Your AI Agent Isn't an Engineer: The Art of Thoughtful Anthropomorphism

Reverse Conway's law and GenAI: How agents will take over the organisation - Patrick Debois

How Coding Agents change Software Development Forever - Hailong Zhang

The LLM Triangle: Engineering Principles for Robust AI Applications - Almog Baku:

Lessons from building GenAI based applications — Juan Peredo

Cohere: Building enterprise LLM agents that work (Shaan Desai)

Patrick Dougherty: How to Build AI Agents that Actually Work

Keynote: The AI developer experience doesn't have to suck – why and how we built Modal

This episode explores the challenges and solutions in building a high-performance infrastructure platform for data, AI, and machine learning applications, specifically focusing on the Modal platform. Against the backdrop of slow feedback loops in cloud computing hindering developer productivity, the speaker, Erik Bern...

Keynote: Why people think "agent" is a buzzword but it isn't

This episode explores the challenges in building AI agents, countering the notion that it's merely a buzzword. The speaker, Chip Huyen, defines an agent as anything that perceives and acts upon its environment, illustrating this with examples like chess-playing agents and coding agents interacting with computer system...

AI Engineer Summit 2025: Agent Engineering (Day 2)

This episode explores the current state and future of AI agent engineering, focusing on practical applications and challenges. Against the backdrop of rapidly evolving large language models (LLMs), the discussion highlights the shift from theoretical concepts to real-world deployments across various industries, such as...

AI Engineer Summit 2025 - AI Leadership (Day 1)

This episode explores the challenges and opportunities surrounding the development and deployment of AI agents in enterprise settings. Against the backdrop of rapid advancements in large language models (LLMs), the discussion highlights the complexities of building reliable and safe AI agents capable of handling real-...

Personality Driven Development: Exploring the Frontier of Agents with Attitude

Optimizing LLMs in Insurance with DSPy: Jeronim Morina

Customized, production ready inference with open source models: Dmytro (Dima) Dzhulgakov

The Adversarial Path to the Personal Assistant: Sumit Agarwal

Training Albatross An Expert Finance LLM: Leo Pekelis

RAG at scale: production ready GenAI apps with Azure AI Search