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Arlequin AI in Paris is seeking a senior full‑stack engineer to join the team building a sovereign European AI platform. You’ll work closely with governments and enterprise clients to understand analysts’ workflows and implement integrations, workflows, and product adaptations that drive HUDEX usage.
You’ll prototype in the field, guide a solution from first sketch to production, and feed user feedback directly into the core product roadmap, influencing Europe-wide deployments.
Embed with customers to make our product essential to them
5+ years, Senior
Full-time
Paris, with regular travel across Europe
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).
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.
Frontend: React, TypeScript
Build & infra: Scaleway cloud, on-prem
Data: Python
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
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
Screening (15 min)
Fit interview (30 min)
Technical interview (1h)
Founder culture fit (45 min)
Reference calls
Offer