ppbIs this you? /b /p pTitan 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 h3What makes you a great fit /h3 ul li5+ 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 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 pIf 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! /p /p #J-18808-Ljbffr

📌 AI Engineer (Barcelona)
🏢 Titan Operating System
📍 Barcelona