Full-Stack Engineer, Office of the CEO

Arago is an AI and computer hardware company whose mission is to drive the course of history forward. We do so by accelerating breakthroughs at the intersection of AI and semiconductors.

Founded in 2024 by AI researchers and physicists with deep expertise in photonics, electronics, software, mathematics, and machine learning, Arago brings together a lean team of engineers and scientists from the world’s top companies and research labs.

Composed of nine nationalities and operating from hubs in France, North America, and Israel, we believe in great science and fast achievements. Our work is guided by these core principles:

1. Do great things: we deliver work we’re proud to sign our name to.

2. High velocity: speed matters. We move quickly, one step at a time.

3. One unit: we’re all in this together, with relationships grounded in trust, respect, and camaraderie.

Arago is backed by executives from Apple, Arm, Nvidia, Microsoft, and Hugging Face, as well as prominent US and European deeptech venture firms and exited founders.

You'll build the internal software layer that makes Arago run faster. Working directly with the CEO and management team, you'll design, develop, and deploy production-grade internal tools, from AI-powered workflow automation to agentic systems. This is a critical, high-visibility project at the heart of the company, with direct founder exposure from day one.

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  Design, build, and maintain internal tools and dashboards used across the company (operations, recruiting, finance, engineering coordination).

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  Integrate AI capabilities (LLM workflows, autonomous agents, retrieval systems) into these tools to automate and augment company processes.

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  Deploy and operate applications on-premise, ensuring reliability, security, and data confidentiality.

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  Work in tight iteration loops with the CEO and management team: gather needs, prototype quickly, refine based on real usage.

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  Establish lightweight engineering practices (versioning, testing, monitoring) appropriate for fast-moving internal products.

• Previous experience as a Software Engineer, Data Scientist, AI Engineer, ML Engineer, or Full-Stack Developer.

• Proven experience building and shipping production-grade SaaS applications end to end (frontend, backend, database, deployment) — a strong portfolio or shipped product matters more than years of experience.

• Proficiency in modern web stacks (e.g., TypeScript/React, Python/FastAPI or Node.js, PostgreSQL).

• Hands-on experience integrating LLMs and AI APIs into applications; familiarity with agentic frameworks and tool-calling patterns is a strong plus.

• Ability to deploy and maintain applications on-premise or in self-hosted environments (Docker, Linux, CI/CD); comfort with security and access-control basics.

• Product mindset: you talk to users, scope pragmatically, and ship in days, not quarters.

• Language: English at a proficient level. French is a plus.