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Arlequin is building a sovereign European alternative to Palantir, an AI platform for processing massive data with bias-free insights. You will join a ten-person team to work on ingestion pipelines, backend data processing, and frontend exploration interfaces for HUDEX.
The role emphasizes end-to-end feature ownership, learning from senior engineers, and contributing to architecture decisions in a startup environment in Paris.
Contribute to both sides of HUDEX: ingestion pipelines and data processing on the backend, exploration and analysis interfaces on the frontend.
1–5 years of experience
Full-time
On-site in Paris
Arlequin is building the sovereign European alternative to Palantir: an AI platform capable of processing massive data volumes without bias, with high-impact use cases such as fighting disinformation. Founded in late 2024 by Hugo Micheron (researcher in geopolitics and systemic risk) and Antoine Jardin (CNRS research engineer).
~30 people, post-seed, Series A in progress. On-site in Paris.
You’ll join a team of around ten people to contribute to both sides of the platform — ingestion pipelines and data processing on the backend, exploration and analysis interfaces on the frontend. Our product (HUDEX) enables non-technical analysts to interpret narrative dynamics across large-scale digital ecosystems. You’ll work alongside senior engineers who mentor you on architecture, and you’ll quickly take ownership of complete features from end to end.
Backend: Hono, Node 24, Drizzle ORM, PostgreSQL, OpenAuth
Build & infra: monorepo npm workspaces + Turbo, Vite, Docker, Azure Container Registry
Data : Python
1–5 years of fullstack experience
Strong command of TypeScript and a modern React ecosystem
Comfortable with a Node backend and ORM (Drizzle, Prisma or equivalent)
A desire to understand architectural choices, not just execute
Professional English
Already comfortable in a startup environment
Mastery of agentic coding tools and code models
Exposure to Python / AI
Experience with harness coding / implementation
Interest in emerging tools and paradigms
Fast learning on TypeScript codebases
Screening (15 min)
Fit interview (30 min)
Technical interview (1h)
Founder culture fit (45 min)
Reference calls
Offer
On-site central Paris