Hiring Engineers in the Agentic AI Era

Hiring Engineers in the Agentic AI Era

Friday, October 9, 2026 • 8 to 10 AM PT / 11 AM to 1 PM ET

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Agentic coding tools are the biggest shift most senior leaders have seen in their careers, arguably bigger than the move from machine code to procedural languages. And where that change took decades, this one has taken just three years, with the biggest changes landing in the last twelve months. Many engineering organizations are still struggling to retrain the people they have, and are even further behind on hiring.

This session brings engineering leaders together to dig into how they are redesigning hiring from the ground up to find people who will actually succeed on AI-augmented teams.

What attendees will learn:

What skills and knowledge engineers need when AI writes most of the code: judgment, context-setting, catching what the agent gets wrong, and codifying rules for how it should operate.
How to filter for and interview real candidates and what to give non-technical recruiters to help with initial screening.
How to rebuild your interview process from scratch: what happened when one team redesigned interviews with no industry template to work from, and what that process revealed about testing judgment instead of recall.
Where junior engineers fit in an AI-augmented organization, and how to select them and ramp them up.
How other top organizations are assessing AI fluency across their teams, and what that signal is starting to replace.

This is a must-attend session for senior software leaders to get a pragmatic look at what it takes to hire well in the agentic era.

Tony Karrer (Moderator)

Tony is the founder of TechEmpower, a 30-person software development services company. Tony has worked as a fractional CTO at over 30 different companies including as the original CTO at eHarmony helping them to get to a $110M financing in their 4th year. Tony has worked on AI solutions for more than two decades across a wide variety of industries and is currently the fractional CTO of a healthcare AI company backed by AI Fund and a fractional CTO of an AI insurance SaaS company. Tony is also cofounder of the LA CTO Forum - the largest CTO professional organization in the US.

Jennifer Wadella (Panelist)

Jennifer is an Engineering Manager at Chromatic, the UI testing company behind Storybook. Jennifer has deep roots in frontend engineering and is still widely regarded as an expert in the Angular space despite a growing tenure in non-coding management roles. Jennifer has spent years developing JavaScript applications and now speaks around the world on frontend development, engineering management, maximizing productivity, and community building. Jennifer is also founder and president of Kansas City Women in Technology, a non-profit that has taught thousands of women and girls in the Kansas City area to code and enter tech careers.

Dylan Serota (Panelist)

Dylan Serota is the co-founder and CEO of Terminal, a global talent platform that helps leading technology companies build and scale engineering teams around the world. He also leads Terminal AI, which helps companies identify and deploy high-impact AI systems within their businesses. Previously, Dylan served as Head of Platform at Eventbrite and has extensive experience building and leading global teams.

Robert Stewart (Panelist)

Robert Stewart is the CTO of Arbital Health, where he leads the technical teams building critical financial infrastructure for providers and payers to successfully manage risk-based contracts and accelerate the shift to value-based care. Before Arbital, he was the CTO of Castlight Health, a pioneering company in healthcare price transparency and employee benefits navigation.

Danit Nativ Navon (Panelist)

Danit is a Senior Engineering Manager in Meta’s Applied AI division, with over two decades of experience and an academic background in Computer Science and Neuroscience. At Meta, she pioneered AI-enabled coding interviews, making it the first major tech company to adopt this AI-native approach when evaluating engineering talent. She also works across the organization to shape AI adoption: from coaching leaders through AI-driven change to helping new hires integrate their AI skills into Meta’s engineering environment.