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.

EntreArchitect Podcast with Mark R. LePage

EA646: Michael Jansen and Dr. Prasanta Bose - Why Architects Will Own the Future of AI Digital Twins

06 February 2026 59:12 EntreArchitect // Gābl Media

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About this episode

Why Architects Will Own the Future of AI Digital Twins

In this episode of the EntreArchitect Podcast, we explore why architects will own the future of AI digital twins. Mark R. LePage talks with Michael Jansen and Dr. Prasanta Bose about how artificial intelligence is reshaping design and operations. They explain how TwinMaster is helping firms work smarter, not harder.

First, Michael shares how his global architecture and technology background led him to build new ways to scale design work. Meanwhile, Prasanta explains how machine learning and digital twins can turn building data into clear, useful insights. Together, they show how AI can improve speed, quality, and decision-making.

The conversation looks ahead to what this means for the profession. Architects are no longer just drawing buildings. Instead, they are becoming the leaders of intelligent systems that manage and optimize the built environment.

This week at EntreArchitect Podcast, Why Architects Will Own the Future of AI Digital Twins with Michael Jansen and Dr. Prasanta Bose.

Learn more about Michael and Prasanta at TwinMaster, and connect on LinkedIn. Interested in the TwinMaster beta? Get early access to AI-powered digital twins by emailing [email protected] or [email protected].

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