At Publicis Groupe, we are transforming the way brands use artificial intelligence to create, decide, and execute. Our cross-functional Technology team develops advanced solutions that directly impact agencies, clients, and operations in Spain and Portugal.
We are building the next generation of intelligent assistants and autonomous agents that enhance creativity, strategy, media, and operational efficiency.
We are looking for an AI Developer who wants to participate in building this infrastructure from the backend.
You will be responsible for designing and developing the backend architecture that supports our conversational agents and LLM-based systems.
You will work directly on:
Orchestration of intelligent agents
Integration with foundational models (Gemini, Azure OpenAI, etc.)
Scalable APIs and real-time streaming
Cloud-ready infrastructure and production
Your work will directly impact tools used by strategy, media, creative, and data teams.
AI Agent Development
Design and build agents using frameworks like Google ADK, LangChain, or similar.
Implement complex flows with tool calling (search, retrieval, external APIs, databases).
Optimize prompts and evaluate response quality.
Backend & APIs
Develop asynchronous APIs with FastAPI.
Design modular and scalable architecture.
Implement streaming endpoints (SSE or WebSockets) for real-time conversational experiences.
LLM Integration
Integrate with APIs such as Google Gemini or Azure OpenAI.
Manage context, citations, grounding, and metadata.
Control costs and optimize token usage.
Infrastructure & Cloud
Containerization with Docker.
Deployment on platforms like Google Cloud Platform.
Secrets management (Key Vault / Secret Manager).
Basic monitoring and observability.
Persistence
Integrate with PostgreSQL.
Use ORMs (SQLAlchemy).
Manage sessions, history, and traceability.
Quality
Write clean, maintainable, and documented code.
Unit and integration testing.
Follow best practices for versioning and CI/CD.
Strong experience in Python backend development.
Hands-on experience with FastAPI and asynchronous development.
Practical experience integrating LLMs in production.
Knowledge of prompt engineering and tool usage.
Experience with SQL databases.
Product-oriented mindset and impact-driven approach.
Nice-to-Have
Experience with agent frameworks (Google ADK, LangChain, LlamaIndex).
Experience deploying on Google Cloud.
CI/CD with GitHub Actions or Azure DevOps.
Previous implementation of real-time streaming.
Knowledge of RAG (Retrieval Augmented Generation).
Experience in marketing, media, or data environments.
We Are Looking For Someone Who
Enjoys building things from scratch.
Has technical judgment and architectural vision.
Is pragmatic and production-oriented.
Understands that AI without business impact is just a demo.
