Titan Operating System S.L. (Titan OS) – Barcelona-based technology, entertainment, and advertising company
Titan OS is looking for you

Values

Make things happen - We take ownership, move fast, and deliver impact

No ego - We collaborate with respect and humility to reach shared goals

Show genuine passion - We love what we do and never stop learning

Culture and environment are at the heart of our ethos. If the above resonates with you, keep reading because we believe you could be a perfect addition to our incredible team

Role overview
As an AI & Content-Recommendation Engineer, you'll work with our Machine-Learning and Backend teams to design, train, and deploy the models and data pipelines that decide "what to watch next" on our Smart TV platform. You'll gain hands-on experience across the full ML lifecycle - from exploratory data analysis through online A/B testing - while shipping features used by millions of viewers worldwide.

Key Responsibilities

Design, build and deploy LLM-powered agents that improve recommendation and information-retrieval experiences





Prototype and train ranking/recommendation models from large-scale interaction logs

Design offline metrics and analyze results. Help set up or monitor online A/B tests; turn findings into iteration plans

Expose recommendation APIs and integrate them with our existing Go / Ruby services

Contribute to CI/CD pipelines for data & model versioning (GitHub Actions, Docker)

Code Reviews & Collaboration: Participate in peer reviews; give and receive constructive feedback. Work closely with product owners and teammates to prioritize and scope tasks

Follow Agile Processes: Adhere to sprint ceremonies, ticketing workflows, and documentation practices

Monitor & Measure: Assist in establishing basic SLAs and KPIs for service performance; learn to track and report on these metrics

Requirements
What makes you a great fit:

2-3 years of experience in AI Engineering, with significant recent experience designing a

📌 AI Engineer (Madrid)
🏢 Titan OS
📍 Madrid