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

Event PAST

DeepTech Talks BCN: Agentic AI, Real Healthcare Impact

24 February Online

Join this event

🎟️ Register / View Event Details

About this event

DeepTech Talks BCN: Agentic AI, Real Healthcare Impact
MONDAY 24TH FEBRUARY 2026
18:30 – 21:30
⚠️ VENUE CHANGE – PLEASE NOTE ⚠️
Cloudworks Passeig de Gràcia, Gran Via de les Corts Catalanes, 613, 9th Floor, Eixample, 08007 Barcelona

DOORS OPEN: 18:30
TALK STARTS: 19:00
NETWORKING: 20:00 – 21:30

As AI systems evolve from passive tools into autonomous, goal-driven agents, healthcare is emerging as one of the most demanding — and impactful — environments for real-world deployment. Beyond models and prototypes, agentic AI must operate within complex workflows, legacy systems, and strict regulatory constraints.
Join us for our February DeepTech Talks edition at Cloudworks Passeig de Gràcia (NEW VENUE) for an in-depth evening exploring how agentic AI is moving from technical innovation to real healthcare impact, with insights from enterprise leadership and founders actively deploying AI agents in live environments.

Our Speakers

Jordi Escayola – Scaling Agentic AI in Enterprise Healthcare
Jordi Escayola is Global AI, Data Science and Advanced Analytics Leader at Sanofi, with over 20 years of experience leading large-scale AI and data initiatives across global organisations. His work spans the full lifecycle of AI systems, from strategy and architecture to operationalisation and scale.
In this talk, Jordi will share how agentic AI frameworks are designed and deployed in complex enterprise healthcare contexts, what technical and organisational decisions matter most, and how teams move from experimentation to sustained impact.
Fadi Haddad – From Architecture to Adoption: AI Agents in Hospitals
Fadi Haddad is CEO of Health Force and a founder building AI agents that automate routine workflows in European hospitals. Operating at the intersection of product, engineering, and healthcare operations, he focuses on turning AI architectures into tools that professionals actually use.
Fadi will bring a hands-on perspective on deploying agentic AI in live healthcare environments, covering system integration, product trade-offs, adoption challenges, and lessons learned from real-world deployments.

What’s In It For You?

Agentic AI represents a fundamental shift in how intelligent systems are built and used. In healthcare, this shift exposes both major opportunities and hard constraints.
In this DeepTech Talks edition, Jordi and Fadi will explore:

What makes agentic AI fundamentally different from traditional ML systems
Why healthcare is becoming a key proving ground for AI agents
Technical and product challenges of deploying agentic AI at scale
How AI agents create value when they move from demos into daily use

Expect a grounded, experience-driven discussion connecting architecture, product decisions, and real-world healthcare constraints.

Who Should Come?

AI/ML engineers and data scientists
Product leaders and engineering managers
Healthcare innovation and digital transformation teams
Founders building AI-driven healthcare solutions
Anyone interested in agentic AI beyond hype and demos

Extras

We’ll have food and drinks 🍷🍕
Come ready to meet senior engineers, product leaders, founders, and decision-makers shaping the future of AI in healthcare.

Spaces are limited, so grab your spot on Meetup while you can.
Brought to you by DeepTech Recruitment & Cloudworks

Want to find AI jobs?

Join thousands of AI professionals finding their next opportunity