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AI Engineer Summit 2026

Oct 12–13, 2026Moscone West, San Francisco

Two days for the people building AI systems that have to work on Monday morning. Practitioner talks on evaluation, agents, retrieval, inference infrastructure and the product decisions in between — no keynote fluff, no vendor pitches.

Sessions1 - 3 of 6

Everything on the program. Search by session title or speaker, or narrow it down by track.

  • AI EngineeringKeynote

    Opening keynote: the year AI engineering grew up

    A look at what changed in the last twelve months — from demos to systems, from prompts to products — and what the discipline needs to figure out next.

    Monday, October 12: 09:00 AM - 09:45 AMMain Stage

    Speaker

  • AI EngineeringTalk

    Building reliable agents: a practitioner's playbook

    Agents fail in ways that traditional services do not: partially, plausibly, and expensively. This talk is the playbook we wish we had — bounded tool surfaces, idempotent actions, replayable traces, checkpointing, and the escalation paths that keep a human in the loop without keeping them in the way.

    Monday, October 12: 10:00 AM - 11:00 AMMain Stage

    Speakers

  • AI EngineeringTalk

    Evaluation harnesses for production LLMs

    A working tour of a real evaluation harness: dataset curation, judge prompts you can defend, statistical significance on small samples, and wiring the whole thing into CI so a regression blocks a deploy rather than surprising a customer.

    Monday, October 12: 10:00 AM - 10:45 AMWorkshop Room

    Speakers