Senior BackEnd Engineer

Company DescriptionPublicis Global Delivery (PGD); Publicis Groupe’s industry leading globally connected capability platform. Where talent, technology & operations combine to delivery amazing solutions for our clients. Expertise across Media, Data, Technology, Commerce & Production in all regions of the world.PGD is comprised of the best talent, and ways-of-working, which enables global scale, innovation and transformation, each day.Culture, growth and wellbeing underline all aspects of Publicis Global Delivery.#WeArePGD
OverviewAs a Senior Software Engineer – AI & Platform Systems, you will design, build, and deploy intelligent, data-driven web platforms that integrate modern AI capabilities into scalable, maintainable solutions. You will operate as a senior technical contributor, owning solution architecture at the project level while collaborating closely with architects, product leaders, and cross-capability teams.You will help translate AI strategy into working systems—supporting experimentation, production deployment, and ongoing optimization—while maintaining high engineering standards and mentoring peers.
ResponsibilitiesProven experience delivering production-grade web applications in small, cross-functional teams (agency or consultancy experience preferredStrong experience with Java, .NET/C#, or Python including: o Web services (RESTful APIs) | o Server-side frameworks (JSP, ASP.NET, or equivalents)Deployment and maintenance in server and cloud environmentsSolid understanding of modern AI-enabled architectures, including: o Consuming Large Language Models (LLMs) and AI APIs including MCPRetrieval-augmented generation (RAG) concepts and vector search integration o Prompt-based interaction and tool-using AI workflows.Experience integrating relational databases and designing data schemas to support web and AI-driven solutionsStrong knowledge of HTML, CSS, and advanced JavaScript, including DOM manipulation, Ajax, and modern JS patternsExperience working with Content Management Systems (CMS) and digital platforms | Proficiency in XML / JSON and their role in distributed systemsSolid understanding of object-oriented design, design patterns, and MVC architectures | Experience with cloud-based deployment (AWS, Azure, or GCP preferred)Working knowledge of web server and application server administration (Apache, Tomcat, IIS, Node, etc.)Strong SQL skills and understanding of relational data modelsExperience with testing methodologies, including unit, integration, and test-driven developmentFamiliarity with web security practices, including SSL, authentication, and authorization | Experience building accessible, standards-compliant web applicationsStrong understanding of the current state of AI models, tools, Retrieval Augmented Generation, and Django/pythonNice to have: Experience with Python-based services supporting AI or data pipelines | Hands-on experience with prompt engineering, AI agents, or orchestration frameworks | Familiarity with vector databases and embeddings | Experience working alongside data science or ML teams | Exposure to AI governance concepts such as bias awareness, explainability, or human-in-the-loop systems | Comfort using generative AI tools (e.g., ChatGPT, Gemini, Claude) for development, ideation, or research.
QualificationsBachelors degree or equivalent experience, with 3- 5 years of professional software engineering experience