We're looking for a Junior Product Engineer to support the development of AI-powered features for HAVAS data products. You'll work alongside senior engineers and product teams to build, test, and deploy backend services and API integrations. This is a hands-on role where you'll learn to build scalable applications, integrate AI and advertising APIs, and contribute to production features for Converged Activate and Match. AI. Main Responsibilities Product Engineering Support
Support the development of AI-driven features by implementing technical requirements under guidance
Build and maintain Python-based applications and APIs using FastAPI or Flask
Collaborate with senior engineers and product teams to understand and implement user-facing features
AI & API Integration
Assist with integrating LLM APIs (Gemini, GPT) for use cases like audience insights and content generation
Help connect external advertising APIs (Meta, Google Ads, TikTok, Amazon Ads)
Learn and apply prompt engineering techniques to improve AI outputs
Cloud Deployment & DevOps




Deploy services to cloud environments (Google Cloud Run) with support from senior team members
Participate in CI/CD processes and learn deployment best practices
Monitor application performance and troubleshoot issues
Learning & Collaboration
Work closely with cross-functional teams including product managers, designers, and data scientists
Participate in code reviews and learn from senior engineers
Document your work and communicate progress effectively
Education
~ Bachelor's degree in Computer Science, Data Science, Engineering, or related field (or equivalent practical experience)

Previous Experience
~0-1 years of professional experience or strong internship/project portfolio

Language Skills
~ Good working knowledge in English

Key Competencies
Basic Python programming skills (familiarity with frameworks like FastAPI or Flask is a plus)
Understanding of APIs and how to work with them
Foundational knowledge of software develop

📌 Junior Product Engineer (Madrid)
🏢 Havas Media Network España
📍 Madrid