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Arlequin AI développe HuDex, une plateforme d’analyse de données multilingues et non structurées, et mène des travaux de recherche en apprentissage profond topologique. Ses outils s’adressent aux entreprises et aux organismes publics.

Repères sur Arlequin AI
Secteur
Logiciels et Internet
Modèle
B2B
Siège
Paris
Domaine officiel
arlq.ai
Dernière levée
Série A · 2026-09-01
Montant annoncé
31 000 000 $
Offres ouvertes
10

Investisseurs mentionnés

Détails de l’offre

La description complète publiée par Arlequin AI.

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Description de l’offre

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ENGINEERING

Fullstack Engineer

Contribute to both sides of our platform: 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

About Arlequin

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).

The role

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.

Stack

Frontend: React 19, TypeScript, Tanstack Router + Query, Vanilla Extract CSS

Backend: Hono, Node 24, Drizzle ORM, PostgreSQL, OpenAuth Build & infra: monorepo npm workspaces + Turbo, Vite, Docker, Azure Container Registry

Data : Python

Tests & quality: Jest, ESLint, Prettier, strict TypeScript

What we’re looking for

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

Bonus

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

Process (~2 weeks)

Screening (15 min)

Fit interview (30 min)

Technical interview (1h)

Founder culture fit (45 min)

Reference calls

Offer

Package

Competitive compensation including equity stake

On-site central Paris

Prérequis

  • Strong command of TypeScript and a modern React ecosystem
  • Comfortable with a Node backend and ORM
  • A desire to understand architectural choices

Avantages mentionnés

  • equity stake