Описание

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.

Задачи

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

Требования

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

Условия

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

📌 ai engineer for Smart TV recommendations (Madrid)
🏢 Enfint
📍 Madrid