ai engineer for Smart TV recommendations

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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