5 Essential Practices for Production-Ready AI Agents
Event PAST

5 Essential Practices for Production-Ready AI Agents

14 September Online

About this event

While AI agents are hailed as the engine for true business value in Generative AI, moving them from proof-of-concept sandboxes to production systems is a major engineering hurdle. Unpredictable reasoning, context drift, security risks, and governance gaps routinely keep agentic projects grounded in the lab.
In this 60-minute session, we break down the five core practices required to build, govern, and scale enterprise-grade AI agents:

  1. Architecture Strategy: Choosing between Agent Harnesses and Frameworks based on operational complexity.
  2. Enterprise Grounding: Decoupling knowledge from the LLM using structured semantic data layers and real-time context.
  3. Multi-Layered Guardrails: Implementing behavioral, data, tool, and human-in-the-loop safety boundaries.
  4. Platform Engineering: Scaling through reusable building blocks, standardized tool bindings, and IDP integration.
  5. Lifecycle Observability: Tracking tool trace execution, context degradation, token health, and continuous evaluation in CI/CD.

We will then put these practices into action with a live demonstration on Mia-Platform AI Foundry, showing how to bind user intent to structured enterprise context, enforce active guardrails, and manage production agent workflows from a unified developer interface.

⏲️ Agenda
18.30 Welcoming
18.45 Talk: Production-Ready AI Agents – 5 Essential Practices & Mia-Platform AI Foundry Demo
19.30 Q&A
19.45 Closing remarks & Networking and see you at the next Meetup!

*You will receive detailed information on how to access the building close to the date.

🎙️Speakers
Giulio Roggero CTO @ Mia-Platform
25 years of experience in software engineering, serial entrepreneur with more than 10 business initiatives launched, today is co-founder and CTO at Mia-Platform, the Internal Developer Platform named by Gartner Cool Vendor for Software Engineering Technologies and in the Cloud Application Platforms Magic Quadrant.

Principal focus: cloud native, platform engineering, data fabric and omnichannel experience. He likes to paint Blood Bowl miniatures, construct Lego, build and drive RC Cars and learn piano.

Alessio Bertazzo - Senior Principal Engineer @ Mia-Platform
A Software Engineer with solid roots in Java and Spring/Spring Boot backend development, he currently holds the position of Senior Principal Engineer in Mia-Platform's R&D team. In this role, he helps define the technical and strategic vision of the products, bridges the gap between the Product division and other company departments, and drives innovation with a strong focus on Generative AI.

Want to find AI jobs?

Join thousands of AI professionals finding their next opportunity

We respect your inbox. Unsubscribe at any time.

© 2026 DevFound.ai. All rights reserved.

Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals 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.

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.

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.

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.

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.

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.