Senior Software Engineer (AI)

Company description Publicis Groupe, the world's second largest communications group, is a solutions platform that is present in more than 100 countries and has more than 98,000 employees. With a unique work philosophy, The Power of One puts clients at the center by promoting the growth of their business through creative agencies (Publicis, Leo Burnett, Publicis Health, Wysiwyg, Nurun and Digitas), media (Zenith, Starcom, Spark and Performics), and areas of transversal knowledge. Publicis Groupe links Creativity, Technology and Data offering a value proposition that effectively connects brand and consumer. Overview We are looking for a Senior Software Engineer specialized in AI to play a key role in designing, shaping, and evolving the next generation of agent-based architectures. You will work closely with cross-functional teams to build innovative solutions that transform how brands operate, make decisions, and create value. Responsibilities You will lead the design and development of the backend architecture powering conversational agents and LLM-based systems, ensuring scalability, robustness, and long-term evolution. You will work on: Orchestrating intelligent agents and multi-agent systems Integrating foundation models (e.g. Google Gemini, Azure OpenAI) Designing scalable APIs, including real-time streaming capabilities Building cloud-ready infrastructure for production environments Your work will directly impact tools used by strategy, media, creative, and data teams. AI Agent Development Design and build AI agents using frameworks such as Google ADK, LangChain, or similar Implement complex workflows with tool calling (search, retrieval, APIs, databases) Optimize prompts and evaluate response quality Backend & APIs Develop asynchronous APIs using FastAPI Design modular and scalable architectures Implement real-time streaming endpoints (SSE, WebSockets) LLM Integration Integrate with APIs like Google Gemini or Azure OpenAI Manage context, grounding, citations, and metadata Optimize token usage and control costs Infrastructure & Cloud Containerize services using Docker Deploy and manage applications in cloud environments (GCP, Azure, etc.) Handle secrets securely (Key Vault, Secret Manager, etc.) Implement advanced observability (logging, metrics, alerting, tracing) Data & Persistence Work with PostgreSQL and SQL-based systems Use ORMs such as SQLAlchemy Manage session history, traceability, and data flows Engineering Quality Write clean, maintainable, and well-documented code Apply testing practices (unit, integration, E2E when needed) Follow SOLID principles, Clean Architecture, and DDD when relevant Ensure proper versioning (Git), branching strategies, and code reviews Build resilient, fault-tolerant systems for production Qualifications Strong product mindset, focused on business impact and end-user value Experience working in Agile environments with cross-functional teams Solid backend experience in Python, building scalable services Strong experience with asynchronous development (FastAPI or similar) Hands-on experience integrating LLMs into production systems Deep understanding of clean code, SOLID principles, and software design Experience with modern architectures (hexagonal, clean architecture, etc.) Strong knowledge of SQL databases and data modeling Ability to make technical decisions with a long-term architectural vision Nice to Have Experience with agent frameworks (Google ADK, LangChain, LlamaIndex) Experience working with Google Cloud CI/CD experience (GitHub Actions, Azure DevOps) Real-time streaming implementations Knowledge of RAG (Retrieval-Augmented Generation) Experience in marketing, media, or data environments We’re looking for someone who Enjoys building from scratch Has strong technical judgment and architectural vision Is pragmatic and product-oriented Understands that AI without business impact is just a demo Additional information Why join us? Because we offer reasons such as: 🌟 Flexible Benefits (Coverflex): Enjoy more than just work with flexible compensation including meal vouchers, health insurance, transportation, and more. 🚀 Growth Opportunities: You can advance in your career not only through the experience of working with major clients but also by accessing local and global training programs specialized according to your role, covering both technical and soft skills. 📚 Free Online Training: You can access unlimited courses from LinkedIn Learning and Udemy Catalogs through our artificial intelligence platform "Marcel". 🥇 Partner Certifications: You'll have the opportunity to obtain certifications from industry giants such as Meta, Google, or Amazon. 🌍 Work from anywhere: Telecommute up to 6 weeks from over 100 countries with our #WorkYourWorld program. 🎉 Attractive holidays package including your birthday & Advertising Day off plus some additional days off. Rest is also important! 🧘🏻‍♂️ Well-being: We prioritize the well-being of our staff and organize various health initiatives such as daily meditation or yoga among others. Employee benefits are an integral part of the company’s annual compensation package. These benefits are subject to the company’s current policies and guidelines and may be modified, updated, or adjusted at the company’s discretion to reflect organizational needs, regulatory requirements, or business conditions. We are certified as a Great Place to Work, your happiness and providing you with an outstanding experience means a lot to us, let's enjoy! Here at Publicis Groupe, we are committed to building a culturally diverse workforce and therefore strongly encourage applications from underrepresented groups. We are committed to equality of opportunity and welcome applications from all individuals, regardless of their background: we do not discriminate on the basis of race, color, religion, gender identity or expression, sexual orientation, national origin, age, disability, marital status, or any individual´s status in any group or class protected by law. If you have any reasonable adjustment needs arising from a disability or medical condition to fully participate in the recruitment process, please discuss this with the recruiter who contacts you. All employees are committed to complying with obligations regarding Information Security and Technologies, obligations related to the use of Artificial Intelligence, obligations stemming from the Quality and Environmental Management System, as well as obligations derived from the Integrity Management System, Corruption Prevention, and the Anti-Bribery and Anti-Corruption Policy. Furthermore, all employees are required to complete mandatory training courses, declarations, and compliance commitments in these areas.

Strong product mindset, focused on business impact and end-user value Experience working in Agile environments with cross-functional teams Solid backend experience in Python, building scalable services Strong experience with asynchronous development (FastAPI or similar) Hands-on experience integrating LLMs into production systems Deep understanding of clean code, SOLID principles, and software design Experience with modern architectures (hexagonal, clean architecture, etc.) Strong knowledge of SQL databases and data modeling Ability to make technical decisions with a long-term architectural vision Nice to Have Experience with agent frameworks (Google ADK, LangChain, LlamaIndex) Experience working with Google Cloud CI/CD experience (GitHub Actions, Azure DevOps) Real-time streaming implementations Knowledge of RAG (Retrieval-Augmented Generation) Experience in marketing, media, or data environments We’re looking for someone who Enjoys building from scratch Has strong technical judgment and architectural vision Is pragmatic and product-oriented Understands that AI without business impact is just a demo

You will lead the design and development of the backend architecture powering conversational agents and LLM-based systems, ensuring scalability, robustness, and long-term evolution. You will work on: Orchestrating intelligent agents and multi-agent systems Integrating foundation models (e.g. Google Gemini, Azure OpenAI) Designing scalable APIs, including real-time streaming capabilities Building cloud-ready infrastructure for production environments Your work will directly impact tools used by strategy, media, creative, and data teams. AI Agent Development Design and build AI agents using frameworks such as Google ADK, LangChain, or similar Implement complex workflows with tool calling (search, retrieval, APIs, databases) Optimize prompts and evaluate response quality Backend & APIs Develop asynchronous APIs using FastAPI Design modular and scalable architectures Implement real-time streaming endpoints (SSE, WebSockets) LLM Integration Integrate with APIs like Google Gemini or Azure OpenAI Manage context, grounding, citations, and metadata Optimize token usage and control costs Infrastructure & Cloud Containerize services using Docker Deploy and manage applications in cloud environments (GCP, Azure, etc.) Handle secrets securely (Key Vault, Secret Manager, etc.) Implement advanced observability (logging, metrics, alerting, tracing) Data & Persistence Work with PostgreSQL and SQL-based systems Use ORMs such as SQLAlchemy Manage session history, traceability, and data flows Engineering Quality Write clean, maintainable, and well-documented code Apply testing practices (unit, integration, E2E when needed) Follow SOLID principles, Clean Architecture, and DDD when relevant Ensure proper versioning (Git), branching strategies, and code reviews Build resilient, fault-tolerant systems for production