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.

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.

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.

• Design and build AI agents using frameworks such as Google ADK, Lang Chain, or similar
• Implement complex workflows with tool calling (search, retrieval, APIs, databases)
• Optimize prompts and evaluate response quality

• Develop asynchronous APIs using FastAPI
• Design modular and scalable architectures
• Implement real-time streaming endpoints (SSE, Web Sockets)

• Integrate with APIs like Google Gemini or Azure OpenAI
• Manage context, grounding, citations, and metadata
• Optimize token usage and control costs

• 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)

• Work with Postgre
  
  SQL and SQL-based systems
• Use ORMs such as SQL Alchemy
• Manage session history, traceability, and data flows

• 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

• 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

• Experience with agent frameworks (Google ADK, Lang Chain, Llama Index)
• Experience working with Google Cloud
• CI/CD experience (Git Hub Actions, Azure Dev Ops)
• Real-time streaming implementations
• Knowledge of RAG (Retrieval-Augmented Generation)
• Experience in marketing, media, or data environments

• 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

• 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…