AI Full Stack Engineer

About the role

Re:Sources, the technology arm of Publicis Groupe, is building a modern, scalable data and analytics ecosystem powered by AI-driven intelligence. It is looking for an AI Full Stack Engineer who designs, develops and integrates end-to-end solutions combining machine learning with robust, user-facing applications. The role sits at the intersection of AI/ML, software engineering and data platforms, working with data engineers, UX designers, product teams and DevOps engineers.

Key responsibilities

• Develop, deploy and maintain machine learning models in production, and build AI features such as classification, anomaly detection, recommendation systems and data enrichment
• Integrate AI/ML models into applications via APIs and microservices, and monitor and improve model performance
• Design and build full-stack features, including responsive front-end interfaces (e.g. React, Angular) and scalable back-end services and APIs
• Work with large-scale ETL pipelines and integrate applications with structured and semi-structured data sources
• Deploy applications and models in the cloud, contribute to CI/CD pipelines and automated testing, and work with containerized applications and microservices
• Partner with UX teams, take part in code reviews, troubleshoot issues across the stack and document solutions

Required profile

• Bachelor's degree in Computer Science, Engineering, Data Science or a related field
• 4+ years of experience in software engineering, full stack development or AI/ML engineering
• Strong problem-solving, debugging and analytical skills; fluent in English

Required skills

• Python and at least one backend language (Node.js, Java.NET, Go)
• Machine learning frameworks (TensorFlow, PyTorch, scikit-learn) and front-end frameworks (React, Angular)
• RESTful APIs, SQL and NoSQL databases, and familiarity with ETL pipelines
• Cloud platforms (AWS, Azure, GCP), Docker, and CI/CD and DevOps practices
• Preferred: production AI features, Databricks or BI tools, MLOps, LLMs/embeddings/generative AI, microservices