Full-Stack Engineer

Jobtailor; Paris; Sur place; EUR 70 000 - 100 000; Plein temps

Résumé du poste

Jobtailor is seeking a Software/AI Engineer to design, build, and maintain internal tools and dashboards used across operations, recruiting, finance, and engineering coordination.

You will integrate AI capabilities, deploy on-premise, and work closely with the CEO and management to prototype quickly, iterate on real usage, and enforce lightweight engineering practices. Proficiency in TypeScript/React and Python or Node.js, plus experience with Docker and Linux is expected.

Qualifications

• Experience shipping production-grade SaaS end to end (frontend, backend, database, deployment).
• Proficiency with TypeScript/React and Python/FastAPI or Node.js.
• Hands-on with integrating LLMs and AI APIs; familiarity with agent frameworks.
• Experience deploying on-premise or self-hosted environments (Docker, Linux).
• Product-minded; able to gather needs and ship quickly.
• English proficiency; French a plus.

Responsabilités

• Design, build, and maintain internal tools and dashboards across operations, recruiting, finance, and engineering coordination.
• Integrate AI capabilities into these tools to automate and augment company processes.
• Deploy and operate applications on‑premise with focus on reliability and data confidentiality.
• Iterate with the CEO and management: gather needs, prototype quickly, refine based on usage.
• Establish lightweight engineering practices (versioning, testing, monitoring).

Connaissances

TypeScript/React

Python/FastAPI

Node.js

PostgreSQL

AI integration

LLM APIs

On-prem deployment

Docker

Security basics

Portfolio/shippped product

Outils

Docker

Linux

CI/CD

Description du poste

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.