Full-Stack Engineer

Responsibilities

• Design, build, and maintain internal tools and dashboards used across the company (operations, recruiting, finance, engineering coordination).
• Integrate AI capabilities (LLM workflows, autonomous agents, retrieval systems) into these tools to automate and augment company processes.
• Deploy and operate applications on‑premise, ensuring reliability, security, and data confidentiality.
• Work in tight iteration loops with the CEO and management team: gather needs, prototype quickly, refine based on real usage.
• Establish lightweight engineering practices (versioning, testing, monitoring) appropriate for fast‑moving internal products.

Requirements

• 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.

Core Competencies

Demonstrates expertise in building and maintaining production‑grade SaaS applications, integrating AI capabilities, and deploying applications in on‑premise environments. Proficient in modern web stacks and agile engineering practices to deliver user‑focused solutions rapidly.