We are seeking aTodos los candidatos deben asegurarse de leer atentamente la siguiente descripción del puesto y la información antes de enviar su solicitud.Senior AI Engineerto design, build, and scale enterprise‑grade AI and Generative AI solutions. As part of a Business AI program, the team is building intelligent agents to streamline core enterprise processes and boost productivity. The goal is to free services professionals from repetitive tasks and accelerate time to value for customers. This role combines strong software engineering fundamentals with hands‑on experience deploying LLM‑powered systems into secure, production environments. You will drive initiatives from proof‑of‑concept through scalable enterprise deployment.DetailsSchedule: Full time remoteLocation: Europe‑basedCapacity: 100% (40 hours/week)Language: English (mandatory), German (nice to have)ResponsibilitiesAI Solution DevelopmentDesign, develop, and deploy enterprise AI and GenAI servicesGuide solutions from PoC to secure production rolloutBuild and integrate multi‑agent AI systems and LLM‑based productsWork with SAP data products and underlying data architecturesManage ingestion, transformation, caching, and indexing workflowsSupport distributed systems and big data processing environmentsImplement CI/CD pipelines and MLOps best practicesAutomate model training, validation,



testing, and deploymentWork with Azure ML, Databricks, or AWS environmentsImplement secure API design, secrets management, and access controlContribute to security concept designEnsure observability, reliability, and compliance in AI deploymentsCollaborate with AI Product Owners, Data Scientists, and stakeholdersCreate architecture diagrams, ADRs, and technical documentationEnsure high-quality, well‑documented codebasesRequired Experience5+ years of professional software engineering experienceStrong Python expertise (mandatory)Experience with Node.js or Java (at least one additional language)Backend framework experience (FastAPI, Flask, or xcskxlj Django)Microservices architecture experienceDocker and Kubernetes experienceExperience with GitHub Actions, MLFlow, or similar orchestration toolsHands‑on ETL, API integration, and model deployment experienceExperience implementing CI/CD and MLOps in cloud environmentsKnowledge of distributed systems and big data platformsExperience working in Agile frameworks (Scrum, Kanban)Fluent English and strong problem‑solving mindsetNice to HaveExperience with multi‑agent or GenAI frameworks (LangChain, CrewAI)Familiarity with SAP AI Core and SAP BTPExperience with Jira (Scrum, SAFe)#J-18808-Ljbffr

📌 Senior AI Engineer (Enterprise GenAI | SAP Environment) (Valencia)
🏢 Talent
📍 Valencia