Main Responsibilities
¿Tiene las siguientes habilidades, experiencia e impulso para tener éxito en este puesto? Descúbralo a continuación.

Product Engineering

We're looking for a Integral Product Engineer AI to build and ship AI-powered features for HAVAS data products. You'll combine strong backend engineering with product thinking - building scalable applications, integrating LLM and advertising APIs, and deploying services to production. Working with product managers and data teams, you'll deliver features for Converged Activate and Match.AI that enable campaign automation and insights for global brands.

Product Engineering

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- Translate product requirements into technical solutions for AI-driven features

- Build and deploy Python-based applications and APIs using FastAPI or Flask

- Collaborate with product teams to design user-centric workflows powered by AI

AI & API Integration

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- Integrate LLM APIs (Gemini via Vertex AI, GPT via Azure OpenAI) for use cases like audience generation, creative insights, and campaign optimization

- Connect external advertising APIs (Meta, Google Ads, TikTok, Amazon Ads) to enable campaign automation

- Implement prompt engineering and response parsing for reliable AI behaviours

Cloud Deployment

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- Deploy and maintain services in Google Cloud Run or similar environments

- Implement CI/CD pipelines for application releases with best practices for security and performance





Collaboration

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- Work cross-functionally with product managers, designers, and data scientists

- Communicate technical concepts clearly to non‑technical stakeholders

Previous Experience

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- 4+ years of professional experience

Language Skills

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- Fluent in English

Key Competencies

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- Strong Python development skills (FastAPI, Flask, pandas)

- Experience building and deploying production web services

- Hands‑on experience with LLM APIs (OpenAI, Anthropic, Google, etc.)

- Understanding of RESTful API design and third‑party integrations

- Experience building and deploying web services to cloud environments (Cloud Run or similar)

- Solid understanding xhfqzwm of data structures, algorithms, and software engineering principles

- Comfortable with Git, Docker, and cloud deployment workflows

- Product mindset: focus on shipping working features iteratively

- Ability to work in a multicultural environment and communicate effectively

Nice To Have

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- Experience with AI orchestration frameworks (LangGraph, CrewAI, Google ADK)

- Exposure to multi‑agent systems and agentic workflows

- Familiarity with advertising ecosystem, CDPs, and campaign performance data

- Experience with Google Cloud Platform (Cloud Run, Vertex AI)

- Knowledge of RAG patterns, embeddings, or vector databases

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📌 Ai Product Engineer - Midweight (Madrid)
🏢 Havas Media Network España
📍 Madrid