ai engineer for Smart TV recommendations

Titan OS is a Barcelona-based technology, entertainment, and advertising company developing a Smart TV platform with recommendation and information-retrieval experiences used by millions of viewers worldwide.

• Design, build, and deploy LLM-powered agents for recommendation and information-retrieval experiences;
• Prototype and train ranking and recommendation models using large-scale interaction logs;
• Design offline metrics, analyze results, and help set up or monitor online A/B tests;
• Turn experiment findings into iteration plans;
• Expose recommendation APIs and integrate them with existing Go and Ruby services;
• Contribute to CI/CD pipelines for data and model versioning using GitHub Actions and Docker;
• Participate in peer code reviews and exchange constructive feedback;
• Work with product owners and teammates to prioritize and scope tasks;
• Follow sprint ceremonies, ticketing workflows, and documentation practices;
• Assist in establishing basic SLAs and KPIs for service performance;
• Track and report service performance metrics.

• 2–3 Years of experience in AI Engineering, including significant recent experience designing and deploying Gen AI and LLM-based solutions;
• Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field;
• Solid understanding of probability, statistics, linear algebra, and algorithms;
• Experience with LLM-powered agents, RAG pipelines, tool/function calling, multi-step planning, and orchestration;
• Proficiency in Python;
• Familiarity with at least one ML/RL or deep-learning framework, such as PyTorch, TensorFlow, or JAX;
• Experience with SQL, including BigQuery or PostgreSQL, and pandas or Spark;
• Exposure to recommender systems;
• Understanding of REST services and model endpoints;
• Awareness of unit and integration testing for data pipelines;
• Clear communication skills and ability to work in a fast-paced, collaborative environment;
• Nice to have: familiarity with real-time stream processing with Kafka or Flink, exposure to AWS or GCP AI services, interest in LLM-based recommendation, embeddings or content understanding, basic knowledge of Prometheus or Grafana, comfort with Go, Node.js or Ruby for service integration.

• Competitive compensation;
• Private health insurance;
• Friendly, diverse, and international work environment;
• Opportunity for professional development in the CTV industry;
• Opportunity to help shape a product impacting millions of viewers.