IA Developer

PUBLICIS GROUPE
Municipality of Madrid, Spain
3 days ago

Role details

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

Job location

Municipality of Madrid, Spain

Tech stack

API
Artificial Intelligence
Unit Testing
Azure
Cloud Computing
Databases
Continuous Integration
Data Infrastructure
Github
Monitoring of Systems
Key Management
PostgreSQL
SQL Databases
SQLAlchemy
Data Streaming
Systems Integration
Management of Software Versions
WebSocket
Google Cloud Platform
Retrieval-Augmented Generation
Large Language Models
Multi-Agent Systems
Prompt Engineering
Backend
FastAPI
Build Management
Containerization
Virtual Agents
REST
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