How does DevFound's AI job matching work?

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

Is AI job searching better than traditional methods?

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

What skills are needed for AI and ML jobs?

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

How do I get matched with AI jobs faster?

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

What locations have the most AI job opportunities?

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

Can DevFound's AI help with remote AI jobs?

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.

Agile Mentors Podcast from Mountain Goat Software

#169: Building Practical AI for Agile Teams with Hunter Hillegas

03 December 2025 34:14 Brian Milner and Guests

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About this episode

It’s not just about cool tools. Hunter Hillegas (CTO at Mountain Goat Software) joins Brian to unpack what it’s really like to build with AI—from hallucinations and context management to dev workflows, testing strategies, and where the humans still matter most.

Overview

This episode dives deep into the real work behind bringing AI into agile. Brian and Hunter trace the arc from early experiments to full-scale agents, sharing what it took to build responsibly on large language models (and what still keeps them up at night). They get into the weeds of context handling, trust and verification, dev productivity, and what makes a good AI coach actually helpful. Along the way, they explore how tools are changing—faster than most teams can keep up—and what that means for the future of learning, coding, and collaborating in agile environments.

References and resources mentioned in the show:

Hunter Hilligas
AI Tool Kit
Agile Skils Video Library
Mike's Better User Stories Webinar
#82: The Intersection of AI and Agile with Emilia Breton
#151: What AI Is Really Delivering (and What It’s Not) with Evan Leybourn & Christopher Morales
#161: Test-Driven Development in the Age of AI with Clare Sudbery
#166: AI Isn’t Coming for Your Job, But It Is Joining Your Team with Dr. Michael Housman
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This episode’s presenters are:

Brian Milner is a Certified Scrum Trainer®, Certified Scrum Professional®, Certified ScrumMaster®, and Certified Scrum Product Owner®, and host of the Agile Mentors Podcast training at Mountain Goat Software. He's passionate about making a difference in people's day-to-day work, influenced by his own experience of transitioning to Scrum and seeing improvements in work/life balance, honesty, respect, and the quality of work.

Hunter Hillegas is the Chief Technology Officer at Mountain Goat Software. With over 20 years of experience in software development, product ownership, and team leadership, he leads the creation of tools like the AI Toolkit and Team Home to support effective, engaging learning experiences. Hunter lives in Santa Barbara, California, with his wife and their dog Enzo.

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