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

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