Conferences / AI Engineer (World's Fair, Summit and regional editions)
AI Engineer Paris 2026
Sep 23–24, 2026 · Station F, Paris, France
- Conference
- AI Engineer (World's Fair, Summit and regional editions) Data science & ML
- Dates
- Sep 23, 2026 – Sep 24, 2026
- Venue
- Station F
- Place
- Paris, France
- Format
- In person
- Status
- Past
- Attendance
- 1,000Event page: '~1000 Founders, VPs of AI & AI Engineers' / '1000+' (pre-event figure).
- Website
- ai.engineer
- Recorded
- 22 sponsors · 65 speaker appearances
- Notes
- Second Paris edition; AIEi partner conference organized with Mistral AI ('Organized By: Mistral'). Sep 23 evening keynotes; Sep 24 full day across Main Stage, Discovery Tracks, Creativity Room, Expo Stage and workshops. Speakers: full schedule on the page with companies. Ticket prices not found.
Ticket prices
No ticket prices recorded
Sponsors 22
Platinum 1
- NVIDIA · Platinum Sponsors
Gold 4
- Cockroach Labs · Gold Sponsors
- Factory · Gold Sponsors
- Sentry · Gold Sponsors
- Sonar · Gold Sponsors
Silver 6
Bronze 8
Speakers and talks 65
| Speaker | Company | Role | Talk | Links |
|---|---|---|---|---|
| Adolf Hohl | NVIDIA | Speaker | Building the infrastructure behind the next-generation of AI | — |
| Alex Nails | RadixArk | Speaker | SGLang and Miles: Building Frontier AI Infrastructure with RadixArk | — |
| Ali Akca | Cast AI | Speaker | Anatomy of a paranoid sandbox: designing for workloads that fight back | — |
| Alodie Boissonnet | Mistral | Speaker | OCR for Business documents | — |
| Anes Bendimerad | Datadog | Speaker | Building Agents to Investigate Security Alerts at Scale | — |
| Arielle Le Bail | Stripe | Speaker | Inside the AI economy: What Stripe’s data reveals | — |
| Ben Burtenshaw | Hugging Face | Speaker | Fantastic environments and where to find them | — |
| Ben Miller | Factory | Workshop | Building Your Own Software Factory | — |
| Ben Miller | Factory | Expo session | Fundamentals to build your Software Factory | — |
| Ben Morss | Mistral | Speaker | Code for free, by running an LLM on your own laptop | — |
| Benjamin Gougerot | Cockroach Labs | Expo session | AI Agents Move at Machine Speed. Can Your Database Keep Up? | — |
| Charles Frye | Modal | Speaker | The low-latency inference engineering playbook | — |
| Clemens Rawert | Langfuse | Speaker | What Can Economic History Teach Us About the AI Moment? | — |
| Colin Frisch | Mistral | Speaker | 10mn to save hours on incident investigation - Building an Agent for Enterprise Use Cases | — |
| Connor Guerrero | Crusoe | Speaker | Fault-Tolerant GPU Clusters on Kubernetes: Building Resilient Infrastructure for AI at Scale | — |
| Dan Feigin | NVIDIA | Workshop | From Minutes to Seconds: Killing the Cold Start Tax on LLM Inference | — |
| Dat Ngo | Arize AI | Speaker | The Harness Is the Product: Engineering Agents Beyond the Happy Path | — |
| Dominic Pajak | Arm | Speaker | Eyes Up: Edge AI Innovation | — |
| Dorian Lods | ElevenLabs | Speaker | Generating Identity at Scale, ElevenLabs' AI-Driven Orb | — |
| Erica Pisani | Sentry | Expo session | Never Lose a Trace, Control What You Send | — |
| Fayaz Ahmed | Cloudflare | Speaker | Your agent needs a computer, not a container | — |
| Han Héloir | Mistral | Speaker | The Model Is Probably Innocent | — |
| Harry Mellor | Hugging Face | Speaker | How a Transformers Model Loads in vLLM | — |
| Henry Collie | Neo4j | Workshop | Build a Knowledge Graph | — |
| Henry Lagarde | Mistral | Speaker | Own Your Agent: Building a Fully Sovereign Stack | — |
| Hervé Bredin | pyannoteAI | Speaker | From research to production: How we rebuilt a streaming model for Voice AI | — |
| Ina Koleva | Mistral | Speaker | Stop Telling Your Agent Where to Look | — |
| Jakob Pörschmann | Black Forest Labs | Speaker | From Pixels to Robots: How we customize FLUX for production to make it steer robots and play games | — |
| Jen Person | Mistral | Speaker | Welcome to AI Engineer Paris 2026! | — |
| Jérôme Tomasini | Stripe | Workshop | Pricing AI Products without Destroying your Margins | — |
| Joffrey Thomas | Mistral | Speaker | Mistral's model catalogue through demos | — |
| Juliette Chevrière | Mistral | Speaker | OCR for Business documents | — |
| Kitze M | Sizzy.co | Speaker | The next level of AI engineering | — |
| Lara Khanafer | STATION F | Speaker | Welcome from Station F | — |
| Lélio Renard Lavaud | Mistral | Speaker | Building Frontier AI | — |
| Leonie Monigatti | Liquid Technology | Speaker | Building the first reliable model for on-device agents | — |
| Lia McBride | AI Engineer | Speaker | Intro to AI Engineer | — |
| Maarten Grootendorst | Speaker | The Efficiency of Gemma 4 | — | |
| Maria Lungu | Algolia | Speaker | What Gets Retrieved Gets Reinforced: Detecting Gender Bias in AI Agents | — |
| Matt Pocock | Matt Pocock Ltd | Speaker | Fixing the PR Bottleneck | — |
| Maxime Pariente | NVIDIA | Speaker | Optimizing Small VideoLLM: an End to End Problem | — |
| Maxime Villeger | Mistral, Microsoft | Speaker | Your agentic workflow needs an evaluation harness and observability loop | — |
| Mish Ushakov | E2B | Speaker | A Computer for Every Idea: Growing Trees of Live Machines | — |
| Nikolay Rodionov | Alpic | Speaker | Why Software Factories fail: how we failed to make 100% of our code built by autonomous agents | — |
| Ninad Joshi | Mistral, Microsoft | Speaker | Your agentic workflow needs an evaluation harness and observability loop | — |
| Octave Raimbault | Mistral | Speaker | The Human Attention Budget | — |
| Olivier Teboul | Gradium | Speaker | The Missing Layers of Conversational AI | — |
| Ondrej Drapalik | E2B | Speaker | A Computer for Every Idea: Growing Trees of Live Machines | — |
| Paul-Louis Nech | Algolia | Speaker | What Gets Retrieved Gets Reinforced: Detecting Gender Bias in AI Agents | — |
| Ron Kahn | NVIDIA | Workshop | From Minutes to Seconds: Killing the Cold Start Tax on LLM Inference | — |
| Sergiy Dybskiy | Sentry | Speaker | Do you love wasting money? Then you should not care about agent tracing | — |
| Sergiy Dybskiy | Sentry | Workshop | Debugging Agents in different environments | — |
| Sohan Maheshwar | AuthZed | Speaker | How to Prevent AI Agents from Accessing Unauthorized Data | — |
| Stephen Chin | Neo4j | Speaker | GraphRAG: The Definitive Guide - A Field Guide to Patterns, Trade-offs, and Production Systems | — |
| Sylvain Combe | Sonar | Expo session | In agents we trust: How Sonar protects your AI investment | — |
| Sylvain Combe | Sonar | Workshop | Hands-on Gitar: AI code review that reads your project's rules | — |
| Theofilos Petsios | Crash Override | Speaker | The Long Tail of "Done": Tracking What Agents Actually Ship, and Where It Gets Deployed | — |
| Theresa Bradford | OTTO | Speaker | Software Factories: Greenfield Is Easy. Brownfield Pays the Bills. | — |
| Tomáš Barczi | Škoda Auto a.s | Speaker | Dangerous by Design: Engineering Restricted Tool Boundaries for High-Stakes Enterprise Agents | — |
| Trupti Parkar | Mistral, Microsoft | Speaker | Your agentic workflow needs an evaluation harness and observability loop | — |
| Tuana Çelik | Prior Labs | Speaker | Bring Deterministic Predictions to AI Agents with Tabular Foundation Models | — |
| Valeria Zuccoli | Intella | Speaker | The Zero-Temperature Lie: Why Your Deterministic LLM is Still Hallucinating Randomness | — |
| Yann Leger | Mistral | Speaker | Building the infrastructure behind the next-generation of AI | — |
| Yannis Psorakis | Cognition | Speaker | Closing the Distance: Agentic map-reduce for large-scale coding tasks | — |
| Yannis Tevissen | Moments Lab | Speaker | Optimizing Small VideoLLM: an End to End Problem | — |