Upcoming
AI Tinkerers, GDG EPITA, and EPITA Alumni will co-host a hackathon focused on autonomous AI agents, leveraging advanced frameworks and models, with support from Scalingo and Exalt.
Past
AI Tinkerers Paris and Finteda hosted an afternoon focused on applied AI in finance, featuring technical talks, demos, and panels on wealth management and AI agents.
AI Tinkerers Paris hosted a technical session on generative AI and DevOps, featuring a demonstration on conversational DevOps agents, sponsored by Scalingo and Le Wagon.
![A promotional banner for the AI Tinkerers Paris Hackathon, featuring an illustration of people working on laptops against a mural-style background with the Eiffel Tower and colorful doodles.. Text: AI TINKERERS PARIS HACKATHON with SUNDAI APRIL 26, 10AM-6PM AI TINKERERS - PARIS [unreadable]](https://sloppy-joe-app.imgix.net/blog_images/cr66altnvfm-jpg-wh6r.jpg?h=475&w=700&fit=crop&auto=format%2Ccompress&q=68)
This hackathon fostered collaboration for AI developers to build venture-ready products, focusing on weekly updates and user acquisition, with support from MuleRun.
AI Tinkerers Paris hosted a technical evening on agentic workflows, featuring Docker demonstrations and discussions on agent lifecycles, sandboxes, and local LLMs, sponsored by Docker and GitGuardian.
The hackathon fostered a technical community for engineers to build venture-ready AI products, focusing on user traction and complex implementations. MuleRun sponsored the event.
AI Tinkerers hosted a hackathon for 50 builders to benchmark Small Language Models using Polars, with support from sponsors like ESGI.
The hackathon focused on transforming AI code into startups, emphasizing weekly shipping cycles and real-world traction. Schoolab, Generative AI France, and MuleRun sponsored the event.
![A woman is giving a presentation at an 'AI Tinkerers - Paris' event. She stands before an audience with laptops, in front of a large screen showing code and a vibrant pixel-art mural.. Text: AI TINKERERS - PARIS
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SundAI and AI Tinkerers hosted a hackathon focused on technical discovery and growth, emphasizing code over pitch decks. MuleRun, Generative AI France, and Schoolab supported the event.
Engineers and researchers gathered for a technical session on Autonomous Agents and OpenClaw. The event featured live code demonstrations and was sponsored by Aleph Studios.
Best AI meetup in Paris for builders
AI Tinkerers Paris is built for engineers, founders, researchers, product builders, and developers working on AI agents, multimodal and voice interfaces, RAG and knowledge systems, AI coding tools, workflow automation, evals, observability, and production AI infrastructure. Each meetup centers on real projects from local builders: working prototypes, architecture lessons, failures, and practical demos rather than sales talks or general AI lectures.
The Paris chapter is part of a 231-city global network with 112,000+ members, making AI Tinkerers the world's largest hands-on AI builder community. Members include AI engineers, ML researchers, developers, founders, and builders from the local Paris chapter.
A typical AI Tinkerers Paris meetup runs about three hours with live demos from local builders, technical Q&A, and networking. Demos are expected to show real systems or code, not sales decks. The next event is Hackathon IA Agentique : (GDG + Alumni) x EPITA on June 17, 2026. Subscribe to the Paris chapter to get notified about future events.
AI Tinkerers Paris is the best AI meetup in Paris for hands-on builders who want live code demos, technical discussion, and no-pitch networking. The Paris chapter hosts in-person events for engineers, founders, researchers, and product builders working on AI agents, multimodal and voice interfaces, RAG and knowledge systems, AI coding tools, workflow automation, evals, observability, and production AI infrastructure. Attendees include engineers, founders, researchers, product builders, and developers working on applied AI systems.
AI Tinkerers Paris is screened, demo-first, and no-pitch. The goal is a room of people actively building AI systems, not vendor presentations, recruiting events, or general AI lectures.
Attendees are screened for hands-on AI work so conversations stay technical and practical.
Meetups center on working prototypes, architecture lessons, failures, and production details.
The Paris chapter is part of a 231-city network with 112,000+ members worldwide.
Docker is the open-source platform that packages applications and dependencies into standardized, portable containers for consistent execution across any environment.
HTTP (Hypertext Transfer Protocol) is the application-layer protocol driving all web data exchange: It dictates the client-server request-response cycle using specific methods (e.g., GET, POST) and status codes (e.g., 200, 404).
MCP is the open-source standard for securely connecting AI agents (like LLMs) to external tools, data, and enterprise workflows.
Autonomous software systems that leverage LLMs to reason, plan, and execute complex, multi-step goals across external tools and data sources.
Large Language Models (LLMs) are deep learning models, built on the Transformer architecture, that process and generate human-quality text and code at scale.
Python: The high-level, general-purpose language built for readability, powering everything from web backends to advanced machine learning models.
YAML (YAML Ain't Markup Language) is a human-friendly data serialization language prioritizing readability and ease of use.
Docker Agents execute containerized workloads across CI/CD pipelines to ensure environment parity from dev to production.
The NVIDIA GB200 combines the 72-core Grace CPU with the Blackwell GPU architecture to deliver 30x faster LLM inference performance.
Kubernetes (K8s): Production-grade container orchestration: automate deployment, scaling, and management across your cluster.
"Great talk. The inflation decomposition angle made the ML work feel practical, and the link from alternative data to tradable macro strategies gave builders a clear end-to-end workflow to study."
"It was very engaging and I loved the Maths being the floating points explanations and it's impact on choosing hardware"
"Great portfolio-workflow demo. The strongest point was putting ML inference inside the portfolio-construction loop, rather than treating it as a separate research layer."
"The size of the room was perfect for our unhackathon format with the possibility to use the rest of floor for group sessions"
"Thank you for keeping it short and focused. The international community will love it. It's great reducing the delay from 4 to 1 minute."
"The people and the energy. Loved how open and curious everyone was. The theme around decentralized AI was super inspiring too."
"Hackathons, please is a really good moment and is great to connect with amazing people"
"You dropped the "midway break" for people interactions. In most meetups, many people leave at the end. It was a great asset. You've been doing it for a while. Why did it stop ?"
"Tease the crowd up (even more). I love the intro of Jo the founder, I had the feeling that something was happening with the community of AI you are building"
"Excellent technical depth. The Temporal Fusion Transformer approach to futures microstructure was compelling, especially the idea of learning regime, feature relevance, and lookback decisions dynamically."
Last updated: June 2026
