OverviewEnvíe su solicitud a continuación después de leer todos los detalles y la información de apoyo sobre esta posibilidad de trabajo.In this role you will design and ship LLM-powered features and autonomous agents within the Data Science team to deliver AI-driven travel services at scale. You will work closely with DS, ML Engineering, IT and Product to ensure reliability, evaluation and safety in production. The opportunity combines hands-on AI development with pragmatic cloud deployment on GCP, shaping a high-impact AI platform used by millions of Prime members. You’ll stay current with GenAI advances and share best practices across the organization.Compensaciones / Beneficiosflexible benefitsrelocation supportpremium equipmentCoursera accessonboarding programhybrid home-office modelResponsabilidadesDesign, build and ship LLM-powered features (chatbots, agents, RAG-based search) with cross-functional partnersCreate LLM applications from simple single-model calls to sophisticated autonomous agentsImplement context engineering as a first-class engineering discipline including versioning,



testing and evaluationCollaborate with ML Engineering to deploy AI apps on our cloud platform (GCP) using existing MLOps infrastructureMonitor, evaluate and secure AI features in production, track drift, and implement guardrails and cost/latency controlsStay updated on GenAI and share insights and best practices across the organizationRequisitos principalesDegree in a quantitative or engineering field or equivalent hands-on experience5+ years as AI Engineer, Data Scientist or Software EngineerStrong Python skills and solid software engineering fundamentals (APIs, orchestration, observability, xhfqzwm CI/CD)Experience building and orchestrating LLM agents and tool use; knowledge of prompt engineering and context-window managementExperience with cloud platforms (GCP preferred) and shipping APIs/services to productionAbility to work with ambiguity and rapidly changing tooling; clear communication in Englishcommunicationteam collaborationproblem solvingLLM agents and tool usageprompt engineering and context-window managementLLM evaluation methods and production feedback loops

📌 Ai Developer (Distrito del Ensanche)
🏢 Accenture
📍 Distrito del Ensanche