AI Engineer

Is this you?Titan Operating System S.L. (Titan OS), the Barcelona-based technology, entertainment, and advertising company, is looking for you!At TitanOS, we live by three core values:Make things happen - We take ownership, move fast, and deliver impactNo ego - We collaborate with respect and humility to reach shared goalsShow genuine passion - We love what we do and never stop learningCulture and environment are at the heart of our ethos. If the above resonates with you, keep reading because we believe you could be a perfect addition to our incredible team!Role overview: As an AI & Content-Recommendation Developer, you'll work with our Machine-Learning and Backend teams to design, train, and deploy the models and data pipelines that decide "what to watch next" on our Smart TV platform. You'll gain hands-on experience across the full ML lifecycle - from exploratory data analysis through online A/B testing - while shipping features used by millions of viewers worldwide.Key ResponsibilitiesDesign, build and deploy LLM-powered agents that improve recommendation and information-retrieval experiencesPrototype and train ranking/recommendation models from large-scale interaction logsDesign offline metrics and analyze results. Help set up or monitor online A/B tests; turn findings into iteration plansExpose recommendation APIs and integrate them with our existing Go / Ruby servicesContribute to CI/CD pipelines for data & model versioning (GitHub Actions, Docker)Code Reviews & Collaboration: Participate in peer reviews; give and receive constructive feedback. Work closely with product owners and teammates to prioritize and scope tasksFollow Agile Processes: Adhere to sprint ceremonies, ticketing workflows, and documentation practicesMonitor & Measure: Assist in establishing basic SLAs and KPIs for service performance; learn to track and report on these metricsRequirementsWhat makes you a great fit:2-3 years of experience in AI Engineering, with significant recent experience designing and deploying Gen AI and LLM-based solutions. Bachelor's or Master's program in Computer Science, Data Science, Machine Learning, or a related fieldSolid grasp of probability, statistics, linear algebra, and algorithmsExposure to LLM-powered agents, familiarity with RAG pipelines, as well as with tool/function calling, multi-step planning and orchestrationProficiency in Python; familiarity with at least one ML/RL or deep-learning framework (PyTorch, TensorFlow, JAX)Experience with SQL (BigQuery, PostgreSQL) and pandas / SparkRecommender Systems ExposureAPI Know-How: Understanding of REST services and how models are surfaced as endpointsTesting & Documentation: Awareness of unit/integration testing for data pipelines and eagerness to learn experiment-driven developmentSoft Skills: Clear communicator who thrives in a fast-paced, collaborative environmentDesirable skills:Familiarity with real-time stream processing (Kafka, Flink)Exposure to AWS/GCP AI servicesInterest in LLM-based recommendation, embeddings, or content understandingBasic knowledge of observability stacks (Prometheus, Grafana)Comfort with an additional backend language (Go, Node.js, or Ruby) for service integrationBenefitsReasons to apply:Competitive compensationPrivate health insuranceFriendly, diverse, and international work environmentOpportunity to work outside of your comfort zone and develop professionally in an exciting and fast-growing CTV industryChange the future of TV! A unique opportunity to join a well-funded, high-growth company in the early stages to help shape a product/business that will impact millionsIf you're excited about this position, don't hesitate to apply. We're waiting for you to join us! And if you want to know more about us, follow us on LinkedIn!