ppbIs this you? /b Titan Operating System S.L. (Titan OS), the Barcelona-based technology, entertainment, and advertising company, is looking for you! /p pbIs this you? /b Titan Operating System S.L. (Titan OS), the Barcelona-based technology, entertainment, and advertising company, is looking for you! /p pAt TitanOS, we live by three core values: /p ul liMake things happen - We take ownership, move fast, and deliver impact /li liNo ego - We collaborate with respect and humility to reach shared goals /li liShow genuine passion - We love what we do and never stop learning /li /ul pCulture 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! /p h3Role overview: /h3 pAs an bAI Content-Recommendation Developer /b, 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. /p h3Key Responsibilities /h3 ul liDesign, build and deploy LLM-powered agents that improve recommendation and information-retrieval experiences /li liPrototype and train ranking/recommendation models from large-scale interaction logs /li liDesign offline metrics and analyze results. Help set up or monitor online A/B tests; turn findings into iteration plans /li liExpose recommendation APIs and integrate them with our existing Go / Ruby services /li liContribute to CI/CD pipelines for data model versioning (GitHub Actions, Docker) /li liCode Reviews Collaboration: Participate in peer reviews; give and receive constructive feedback. Work closely with product owners and teammates to prioritize and scope tasks /li liFollow Agile Processes: Adhere to sprint ceremonies, ticketing workflows, and documentation practices /li liMonitor Measure:



Assist in establishing basic SLAs and KPIs for service performance; learn to track and report on these metrics /li /ul h3Requirements /h3 h3What makes you a great fit: /h3 ul li2-3 years of experience in AI Engineering, with significant recent experience designing and deploying Gen AI and LLM-based solutions. /li liBachelor's or Master's program in Computer Science, Data Science, Machine Learning, or a related field /li liSolid grasp of probability, statistics, linear algebra, and algorithms /li liExposure to LLM-powered agents, familiarity with RAG pipelines, as well as with tool/function calling, multi-step planning and orchestration /li liProficiency in Python; familiarity with at least one ML/RL or deep-learning framework (PyTorch, TensorFlow, JAX) /li liExperience with SQL (BigQuery, PostgreSQL) and pandas / Spark /li liRecommender Systems Exposure /li liAPI Know-How: Understanding of REST services and how models are surfaced as endpoints /li liTesting Documentation: Awareness of unit/integration testing for data pipelines and eagerness to learn experiment-driven development /li liSoft Skills: Clear communicator who thrives in a fast-paced, collaborative environment /li /ul h3Desirable skills: /h3 ul liFamiliarity with real-time stream processing (Kafka, Flink) /li liExposure to AWS/GCP AI services /li liInterest in LLM-based recommendation, embeddings, or content understanding /li liBasic knowledge of observability stacks (Prometheus, Grafana) /li liComfort with an additional backend language (Go, Node.js, or Ruby) for service integration /li /ul h3Benefits /h3 h3Reasons to apply: /h3 ul liCompetitive compensation /li liPrivate health insurance /li liFriendly, diverse, and international work environment /li liOpportunity to work outside of your comfort zone and develop professionally in an exciting and fast-growing CTV industry /li liChange 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 millions /li /ul /p #J-18808-Ljbffr

📌 AI Engineer (Barcelona)
🏢 Titan OS
📍 Barcelona