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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

Forward Deployed Engineer

Embed with customers to make our product essential to them

5+ YEARS, SENIOR

FULL-TIME

PARIS, WITH REGULAR TRAVEL ACROSS EUROPE

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 be the bridge between HUDEX and the governments and organizations who run their most consequential decisions through it. You work hand in hand with customers to understand how analysts and decision makers actually work, then build and ship the integrations, workflows and product adaptations that make HUDEX indispensable to them. You’re not handed a spec: you go find the real problem, prototype a solution fast, and carry it from first sketch to production. What you learn in the field feeds straight back into the core product roadmap.

Stack

Frontend: React, TypeScript

Backend: Node Build & infra: Scaleway cloud, on-prem

Data: Python

What we’re looking for

2+ years of fullstack or backend-leaning experience, ideally with some exposure to customer-facing or field engineering work

Strong command of TypeScript and a modern React/Node ecosystem, plus comfort in Python for data/integration work

Proven ability to operate independently: scope an ambiguous problem, ship a working solution, iterate from real user feedback

Comfortable translating between non-technical stakeholders (analysts, government or enterprise clients) and engineering

Bonus

Experience in public sector, defense, security or highly regulated environments

Eligibility for security clearance

Experience with on-prem or air-gapped deployments

Mastery of agentic coding tools and code models

Interest in emerging tools and paradigms

Fast learning on unfamiliar codebases and client environments

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

Paris-based, with travel budget and per diem for missions across Europe

Prérequis

  • Experience in public sector
  • Experience in defense
  • Experience in security
  • Experience in highly regulated environments
  • Eligibility for security clearance
  • Experience with on-prem or air-gapped deployments