We are:Wizeline, a global AI-native technology solutions provider, develops cutting-edge, AI-powered digital products and platforms. We partner with clients to leverage data and AI, accelerating market entry and driving business transformation. As a general community of innovators, we foster a culture of growth, collaboration, and impact.With the right people and the right ideas, there's no limit to what we can achieve.Are you a fit?Sounds awesome, right? Now, let's make sure you're a good fit for the role:Key ResponsibilitiesDesign, develop, and enhance scalable content and translation platforms usingJava and Spring Boot, REST APIs, and microservices architectures.Build and integrateLLM- and AI-powered translation capabilitiesinto enterprise content-processing workflows.Develop reliable APIs and backend services for translation requests, processing, and results, ensuring scalability, performance, and maintainability.Integrate with AI/LLM and machine-translation providers, evaluating opportunities to improvetranslation quality, scalability, cost, and latency .Design and implementevent-driven architecturesusing technologies such as Apache Kafka to support high-volume content-processing pipelines.Integrate translation and content services with existing enterprise platforms, APIs, and downstream systems.Develop solutions formultilingual content processing, supporting multiple languages, content types, and international publishing requirements.Implement robust error handling, retries, monitoring, logging, alerting, and other operational capabilities required for reliable production systems.Develop automated tests and validation mechanisms to ensure the quality and reliability of translation workflows and services.Contribute to performance and scalability improvements as content and translation volumes increase.Support production deployments, troubleshooting, incident resolution,



and ongoing operational improvements.Collaborate closely with engineering, product, and client stakeholders to define technical solutions, participate in design discussions, and translate business requirements into scalable software.Contribute to technical documentation, code reviews, CI/CD practices, and engineering standards.Help evolve the platform architecture to support future international expansion, additional languages, and new content types.Stay current with developments inGenAI, LLMs, machine translation, multilingual NLP, cloud technologies, and distributed systems, applying relevant practices to production solutions.Must-have SkillsBachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related STEM field, or equivalent practical experience.4+ years of professional software engineering experience, with strong experience developing enterprise applications usingJava and Spring Boot .Strong experience designing and developingREST APIs and microservices .Hands-on experience withcloud-based application development, preferably onGoogle Cloud Platform (GCP) .Practical experience withApache Kafka or similar event-driven messaging technologies .Experience developing or integratingLLM/AI-powered applications and APIsin production or enterprise environments.Experience withmachine translation, multilingual content processing, NLP, or related AI-driven content technologies .Strong understanding of software engineering practices, includingGit, CI/CD, automated testing, code reviews,



and Agile methodologies .Experience integrating applications with existingenterprise platforms, APIs, and third-party services .Ability to troubleshoot production issues and contribute to monitoring, logging, performance optimization, and operational support.Strong written and verbalEnglish communication skills, with the ability to communicate effectively with technical teams and stakeholders.Nice-to-haveExperience withcontent-management, publishing, media, or digital content platforms .Experience working withLLM providers, AI APIs, or machine-translation platformssuch as Google Cloud Translation, Azure AI Translator, AWS Translate, or equivalent services.Familiarity withGoogle Cloud Platform servicessuch as GKE, Cloud Run, Pub/Sub, Cloud Storage, BigQuery, or similar.Experience withmultilingual NLP, translation quality evaluation, language detection, or localization workflows .Familiarity with AI/LLM orchestration frameworks and tools such asLangChain, LangGraph, LangSmith, or equivalent .Experience implementing observability solutions using tools such asCloud Monitoring, Cloud Logging, Datadog, Grafana, or equivalent .Experience with Docker and containerized application deployments.Experience working with high-volume, distributed, or latency-sensitive systems.Familiarity with media or publishing workflows, content pipelines, editorial systems, or international content distribution.AI Tooling Proficiency: comfort using AI tools to optimize day-to-day work, including development, analysis, research, testing, and automation, with the ability to identify opportunities to improve engineering workflows.What we offerA High-Impact EnvironmentCommitment to Professional DevelopmentFlexible and Collaborative CultureGlobal OpportunitiesVibrant CommunityTotal Rewards*Specific benefits are determined by employment type and location.Find out more about our culture here.#J-18808-Ljbffr

📌 Senior Ai Engineer (Madrid)
🏢 Localization Academy
📍 Madrid