Senior Full-Stack Engineer, AI Analytics Platform

Publicis Groupe Holdings B.V; New York (NY); On-site; USD 100,000 - 135,000; Full time

Job summary

Publicis Groupe Holdings B.V in New York is searching for a full-stack developer to lead the delivery of an analytics platform. This role encompasses designing modern web applications and enhancing Python API services while collaborating closely with data science and engineering teams. The ideal candidate should have strong front-end skills in React and TypeScript, as well as backend experience using Python.

The company fosters a collaborative culture aimed at driving client growth through innovative solutions in machine learning.

Qualifications

• 6-8 years of building production internal or enterprise web applications.
• Strong front-end skills including React and modern component patterns.
• Demonstrated backend/API experience using Python and an async web framework.
• Solid understanding of REST APIs and JSON contracts.
• Experience integrating UIs with backend job systems or long-running workflows.

Responsibilities

• Design and build modern web applications for model configuration and report exploration.
• Extend Python API services with REST endpoints for UI consumption.
• Manage client-side state and server synchronization for long-running jobs.
• Integrate UI and APIs with orchestration layers and job metadata.
• Break work into incremental deliverables and ship against product epics.

Skills

React

TypeScript

Python

REST APIs

SQL

FastAPI

Job description

Publicis Groupe Holdings B.V in New York is searching for a full-stack developer to lead the delivery of an analytics platform. This role encompasses designing modern web applications and enhancing Python API services while collaborating closely with data science and engineering teams. The ideal candidate should have strong front-end skills in React and TypeScript, as well as backend experience using Python.

The company fosters a collaborative culture aimed at driving client growth through innovative solutions in machine learning.