AI Full Stack Engineer

About the role

Publicis Re:Sources is seeking an AI Full Stack Engineer to design, develop, and integrate end‑to‑end solutions that blend advanced machine‑learning capabilities with robust user‑facing applications. You will work at the intersection of AI/ML, software engineering, and data platforms to deliver intelligent features that enhance data ingestion, discovery, automation, and insights across the company’s analytics ecosystem.

Key responsibilities

• Develop, deploy, and maintain machine‑learning models in production environments.
• Build AI‑driven features such as classification, anomaly detection, recommendation systems and data enrichment.
• Integrate ML models into applications via APIs and micro‑services.
• Design and implement responsive, high‑performance user interfaces using modern frameworks (e.g., React, Angular).
• Create and maintain scalable backend services and APIs that support data workflows.
• Collaborate with data engineering teams to integrate large‑scale ETL pipelines and optimise data flows.
• Deploy applications and models in cloud environments, contribute to CI/CD pipelines and automated testing.
• Ensure scalability, security and reliability of containerised applications and micro‑service architectures.

Required profile

• Strong background in full‑stack software development.
• Experience integrating machine‑learning models into production systems.
• Ability to work closely with data engineers, UX designers, product owners and DevOps teams.
• Proactive attitude toward performance optimisation and continuous improvement.

Required skills

• React
• Angular
• API development
• Micro‑services architecture
• Cloud computing platforms
• CI/CD pipelines
• Containerisation
• ETL processes