IA Developer

PUBLICIS GROUPE
Madrid, Spain
28 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Unit Testing Microsoft Azure Cloud Computing Databases Continuous Integration Data Infrastructure Github Monitoring of Systems Key Management PostgreSQL
+19 more
SQL Databases SQLAlchemy Data Streaming Systems Integration Management of Software Versions WebSocket Google Cloud Retrieval-Augmented Generation Large Language Models Multi-Agent Systems Prompt Engineering Backend Fastapi Build Management Containerization Virtual Agents Restful APIs Docker Key Vault

Job description

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.

Requirements

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.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on es.indeed.com

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