Agency :

Havas Media Group Spain

Job Description :

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)
- Un

📌 Junior Product Engineer (Madrid)
🏢 Havas Group
📍 Madrid