Philipp Schmid
Bio
Philipp Schmid is a Staff Engineer at Google DeepMind working on Gemini, Gemma with the mission to help every developer to build and benefit from AI in a responsible way.
Session (1)
Philipp Schmid is a Staff / Senior AI Developer Relations Engineer at Google DeepMind, building Google's first AI DevRel team and serving as a direct conduit between Gemini research and everyday developers. His recent talks and prolific blog writing span agent architecture mental models, MCP server best practices, Gemini 2.5 hands-on engineering, and the real production challenges of moving beyond chatbots to autonomous agentic systems.
Recent talks (5)
Why (Senior) Engineers Struggle to Build AI Agents — Philipp Schmid, Google DeepMindMay 2026
Building Conversational Agents — Thor Schaeff and Philipp Schmid, Google DeepMindApr 2026
AI Engineering with the Google Gemini 2.5 Model Family - Philipp Schmid, Google DeepMindAI Engineer World's Fair 2025 · Jul 2025Beyond Chatbots: How to build Agentic AI systems with Google GeminiAgents in Production 2025 (MLOps Community) · Jul 2025
Tackling the Hardest Questions in Agent Development with Philipp SchmidThe Agent Factory Podcast · Aug 2025GitHub
@philschmid- philschmid/deep-learning-pytorch-huggingface★ 1,381Jupyter Notebook collection for deep learning with PyTorch and Hugging Face frameworks
- philschmid/gemini-samples★ 1,365Personal samples, snippets and guides showcasing experiments with Google DeepMind Gemini models
- philschmid/mcp-cli★ 1,200Lightweight, Bun/TypeScript CLI for interacting with MCP (Model Context Protocol) servers
- philschmid/clipper.js★ 621Node.js CLI tool that clips web page content and converts it to Markdown
- philschmid/easyllm★ 475Tools and OpenAI-compatible clients for working with open and closed source LLMs
Recent writing (6)
- How Gemini Managed Agents Works under the Hood · blog · Jun 2026
- Gemini Managed Agents: Developer Guide · blog · May 2026
- Can We Close the Loop in 2026? · blog · Feb 2026
- MCP is Not the Problem, It's your Server: Best Practices for Building MCP Servers · blog · Jan 2026
- Why (Senior) Engineers Struggle to Build AI Agents · blog · Nov 2025
- 8 Predictions for 2026. What comes next in AI? · blog · Dec 2025
Podcasts & interviews (1)
- Google DeepMind's AI playbook for engineering at hyperspeed · Dev Interrupted · Jun 2025
Public activity researched automatically · as of Jun 2026