Senior AI Engineer – Recommender Systems & GenAI

Titan Operating System; Barcelona; On-site; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Competitive compensation

Private health insurance

Friendly, international team

Job summary

Titan Operating System in Barcelona is seeking an AI & Content‑Recommendation Developer to design, train, and deploy models and data pipelines that decide what to watch next on our Smart TV platform. You’ll touch the full ML lifecycle from exploration to online experiments, shipping features used by millions of viewers.

The role requires strong experience in AI engineering, GenAI/LLM deployments, Python and ML frameworks, plus hands-on data tooling and API integration with Go/Ruby services.

Qualifications

• 5+ years of AI Engineering experience designing and deploying Gen AI/LLM solutions.
• Bachelor’s or Master in Computer Science, Data Science, Machine Learning, or related field.
• Solid grasp of probability, statistics, linear algebra, and algorithms.
• Exposure to LLM-powered agents, RAG pipelines, tool/function calling, multi-step planning and orchestration.
• Proficiency in Python; familiarity with ML/RL or deep-learning frameworks (PyTorch, TensorFlow, JAX).
• Experience with SQL (BigQuery, PostgreSQL) and pandas / Spark.
• Recommender Systems exposure.
• API know-how: REST services and model endpoints.
• Testing & Documentation: unit/integration testing for data pipelines.

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; set up or monitor online A/B tests; turn findings into iteration plans.
• Expose recommendation APIs and integrate with Go / Ruby services.
• Contribute to CI/CD pipelines for data & model versioning (GitHub Actions, Docker).
• Code Reviews & Collaboration: participate in peer reviews; work with product owners to scope tasks.
• Follow Agile processes: adhere to sprint ceremonies and documentation practices.
• Monitor & measure: assist in establishing SLAs and KPIs for service performance.

Skills

AI engineering

Gen AI & LLM deployment

Python programming

Probability & statistics

RAG pipelines

Tool calling & multi-step planning

REST APIs

Unit testing & integration testing

Communication

Go/Ruby backend familiarity

Education

Bachelor’s or Master in CS/DS/ML

Tools

SQL: BigQuery/PostgreSQL

Pandas/Spark

REST APIs

GitHub Actions/Docker

Job description

Titan Operating System in Barcelona is seeking an AI & Content‑Recommendation Developer to design, train, and deploy models and data pipelines that decide what to watch next on our Smart TV platform. You’ll touch the full ML lifecycle from exploration to online experiments, shipping features used by millions of viewers.

The role requires strong experience in AI engineering, GenAI/LLM deployments, Python and ML frameworks, plus hands-on data tooling and API integration with Go/Ruby services.