Adaptive Recommenders in the Real World: Inference, Evals, and System Design
Engineering Leader @Netflix, Previously @Twitter and @Walmart
Engineering talks on scaling AI in production.
Browse the QCon AI Boston sessions. Senior practitioners share the architectural patterns they use to manage context lifecycles and evaluation loops under heavy load.
Senior engineers from these companies attend QCon to stay ahead.
QCon AI Boston 2026 Sessions
Browse Confirmed Talks and Keynotes (More to Come)
AI First, Quality Always: Agentic SDLC Adoption Case Study
Engineering Director @Red Hat AI, 20+ Years in Software
Beyond Prompting: Context Engineering for Production-Grade AI
Lead, Developer Relations @Redis, Expert in Distributed Systems, Databases, and Software Development, Previously @AWS, @Elastic, and @Confluent
Beyond the Prototype: Scaling Frame Agnostic AI Agent Infrastructure with Ray
Senior Machine Learning Engineer @Apple, 20+ Years in Distributed Systems and Scalable Data/Compute/ML Infrastructure
Senior Software Engineer @Apple, Expert in Artificial Intelligence and Large-Scale Distributed Systems
Building GenAI Platform at DoorDash
Tech Lead, AI Infrastructure @DoorDash
Staff Engineer / Engineering Manager Machine Learning Platform @DoorDash
Building Reusable Evaluation Frameworks for Agentic AI Products
Principal Data Scientist @Elastic
From Fab To Token - The State Of The Market
Member of Technical Staff @SemiAnalysis, Previously Distinguished Technologist @HPE
From Hype to Habit: Conquering AI Adoption at Zoox
Leading Developer Experience @Zoox, Previously Director of Site Reliability Engineering @AppLovin
From Models to Agents: Building Context-Aware Consumer AI at Scale at DoorDash
Head of Machine Learning and Artificial Intelligence, New Business Verticals @DoorDash, Previously Machine Learning Lead @Netflix, 15+ Years in Machine Learning
From Natural Language to Trusted AI: A Hybrid Architecture for Safe, Accurate, and Context-Aware AI Query Generation
Principal Group Director of Data and Applied AI Science @Microsoft, Advisor and Lecturer for MIT’s "Break Through Tech AI" Program
From Retrieval to Reasoning: Building Production-Ready Agentic AI Systems with Knowledge Graphs
Vice President of Ecosystem, Product Engineering @RelationalAI, Previously @Thoughtworks
Opening the Black Box: Critical Explainability for AI Agent Tool Selection with Kiji Inspector
Head of 575 Lab @Dataiku, Google Developer Expert for ML/AI, Member of the Google Developer Board, Previously Principal ML Engineer @Digits
SafeChat: Building AI-Powered Safety Systems at Scale in a Real-Time Marketplace
Software Engineer @DoorDash, 10+ Years in Software Engineering
Scaling LLM-Based Ranking Systems for Latency-Critical Search & Recommendation Workloads
Lead Engineer @LinkedIn on LLM Inference Team, Previously Worked on Azure Identity & Authorization and Microsoft Office
Serving LLMs at Scale: The Hidden KV Cache Advantage
Co-Founder & CEO @Momento, previously @NASA and @Amazon
The Five Stages of AI Maturity in Engineering Organizations — Where and Why Teams Get Stuck
Co-Founder & CEO @Quotient, Co-Author of "Research-Driven Engineering Leadership", Official Member Forbes Technology Council, Previously @Red Hat and @Invitae
There's a Mod for That: Opening Up AI Agent Development
Senior Principal Engineer @Amazon, One of the Lead Designers of the Rust Programming Language, Creator of Symposium (symposium.dev), Project Director on the Rust Foundation Board,
What 25 Trillion Tokens Reveal About How Developers Actually Adopt AI Agents
Developer Relations Engineer @Kilo Code
Zero Trust Agent Systems that Pass Audits and Still Ship
Senior Site Reliability Engineer (DevSecOps + Cloud + AIOps) @Broadcom, Creator of DockSec, Docker Captain, and IEEE Senior Member
< TESTIMONIALS >
Why senior engineers trust QCon
QCon provides an opportunity to obtain new ideas and approaches to developing software. I have and would continue recommending QCon to anyone interested in keeping up with the latest trends by learning from those who are defining those trends.
Jeff Hollar
Architect @Cisco
QCon is a conference by engineers for engineers. I didn't feel like I was being sold something as part of the presentations, but rather like I was learning from what is actually happening in other companies.
Christopher Prigg
Senior Engineer @Tesco PLC
QCon provides access to use-cases and practical information that truly delivers value for short-term adoption. Organizers are accessible and committed to excellence.
Higor Granzoto
Senior Developer @Padtec
"QCon is a great place for industry leaders to share what they've learned, techniques they've discovered, and pitfalls to avoid without an overarching sponsor presence."
Michael Villalobos
Engineering Manager @FairFinancial
< WHY QCON AI BOSTON >
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Avoid production failures
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Deploy agentic AI safely
Apply distributed systems discipline to move autonomous agents from retrieval to reasoning.
Align your architecture
Ensure your team returns speaking the same language about system design and latency budgets.
Pressure-test your designs
See how leading organizations solve the exact same infrastructure constraints your team is facing.