Try for free
Event PAST

Stream #35: Production-grade AI agents with SurrealDB & Pydantic AI

08 January Online

Join this event

🎟️ Register / View Event Details

About this event

Stream #35: Production-grade AI agents with SurrealDB & Pydantic AI

Explore the practical challenges of taking Graph-RAG agents from experiment to production with SurrealDB and PydanticAI. Unlike simple RAGs, these agents need durable, queryable memory, checked rules for agent requests and responses, and observability that surfaces retrieval and validation drift. In this session SurrealDB and PydanticAI show a compact, reproducible pattern - build a KG, run a typed pai-memory agent via the Gateway, and use Logfire/OTel to trace and diagnose failures.

About SurrealDB Stream
SurrealDB Stream is our ongoing developer-focused livestream series on building AI-ready applications with SurrealDB, featuring hands-on demos, code examples and fireside discussions. Explore our past episodes here: https://www.youtube.com/playlist?list=PLvuQflRR4UzblK6jpMoFE_MuJ8JZ2e14_

About the speakers

Samuel Colvin - Pydantic, CEO & Founder
Samuel Colvin is a Python and Rust developer and creator of Pydantic. The Pydantic library, which he created is downloaded over 300M/month and is a dependency of many GenAI Python libraries including the OpenAI SDK, the Anthropic SDK, Langchain, AutoGPT, instructor and LlamaIndex.

Tobie Morgan Hitchcock - SurrealDB, CEO & co-founder
Tobie Morgan Hitchcock is CEO & Co-Founder of SurrealDB. He is an experienced tech entrepreneur, developer, and software engineer, with 17 years’ experience in the software and cloud-computing industries. In 2021 he founded SurrealDB, with the aim of building the ultimate cloud database for tomorrow's applications. He has experience in a wide range of different software stacks and development languages, with a focus on distributed databases, and highly-available architectures.

Martin Schaer - SurrealDB, Solutions Engineer
Martin is a computer science engineer working at SurrealDB and his GenAI startup. He recently worked in lab automation, where he designed and developed a declarative framework for instrument drivers and a 3D visualiser for testing robotic transport solutions. His background also includes founding a successful advertising agency in Costa Rica and extensive work in web development, UX, branding, and digital marketing.

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.

Still have questions?

Contact Support