Quentin Chantelot

Building production agentic systems, automation workflows, and the full-stack products around them. Current work includes multi-step orchestration, tool and function calling, task planning, memory and state, RAG, retrieval, context engineering, human-in-the-loop review, evaluation harnesses, observability, guardrails, and production reliability. Core stack: TypeScript, Python, React, Node.js, PostgreSQL, APIs, Docker, AWS, and GCP. Familiar stack includes LangGraph, PydanticAI, FastAPI, MCP, Claude Code, and Cursor. Remote-first. Available for planned on-site collaboration several times per year, including visits lasting from a few days to several weeks. Not available for a recurring weekly hybrid schedule. Open to Senior Applied AI Engineer, Founding Engineer, and technical lead roles with product-focused startups in France, Europe, and the US.

Built an AI agent that autonomously tested around 2,000 landing pages every day. Worked across agent orchestration, automated evaluation, backend services, and product delivery in TypeScript and Python.

Developed a full client/server multi tenants email service, both frontend and backend, including AI services, email server services (IMAP/SMTP), etc. The service is compatible with a @zest.email account, gmail/outlook, or any email server that supports IMAP. AI agents with RAG to generate responses, auto-classify emails, auto-classify files, generate summaries of files, etc.

Developed the initial solution from scratch then led a team of 8 people, including 6 developers. I was still coding though. Notice is both a CMS and a headless CMS to create blog, doc, faq, etc. in one-click.

Send your electronic registered letters and check your users' identities with Ponee. All in one unique trust product. Our ID check technology is 100% proprietary and all our data is stored in the European Union. Conformity with eIDAS regulation.

MedTech sector