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.

devfound

Try for free

Workplace Innovator Podcast | Enhancing Your Employee Experience | Facility Management | CRE | Digital Workplace Technology

Ep. 376: "Learn All That You Can" – Understanding Facility Management Leadership in the Workplace with Edward Kacal of Servus Limited

04 November 2025 21:57 Eptura™

Listen to episode

About this episode

Edward Kacal is CEO at Servus Limited in Trinidad and Tobago where he is a proven problem-solver with a blend of analytical and intuitive skills driving positive long-term performance at a company providing outsourced integrated facilities management services. Mike Petrusky asks Eddie about how the facility management industry is evolving and why leaders need to advocate for its growth and recognition both locally and internationally. They explore how AI is impacting the workplace and the FM profession as it revolutionizes building management and operations. Eddie says that FM professionals should strive to become generalists, being good at many different things, rather than being confined to specific job titles and descriptions. He encourages us to pursue continuous learning and professional development are essential to avoid becoming obsolete in a rapidly changing industry. Mike and Eddie agree that facility managers should focus on a strategic agenda and network within their organizations to gain support and resources, so they invite participation at IFMA as they provide the inspiration you will need to be a Workplace Innovator in your organization!

Connect with Edward on LinkedIn: https://www.linkedin.com/in/edwardkacal/

Explore Servus Limited: https://servus.co.tt/

Learn more about IFMA: https://www.ifma.org/

Discover free resources and explore past interviews at: https://eptura.com/discover-more/podcasts/workplace-innovator/

Learn more about Eptura™: https://eptura.com/

Connect with Mike on LinkedIn: https://www.linkedin.com/in/mikepetrusky/

More AI podcast episodes

Browse all →

Want to find AI jobs?

Join thousands of AI professionals finding their next opportunity