Empleo / Wizeline

Wizeline

Java & LLM/AI Software Engineer - Barcelona (Hybrid)

Ubicación
Barcelona · Híbrido
Publicada
hace 26 meses

Qué piden

ImprescindibleJavaSpring BootGCPKafkaGitCI/CDREST APITesting automatizado

ValorableCMSLLMMachine TranslationBLEUCOMET

Idiomasinglés fluido

La oferta

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 global 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? We are seeking a skilled Senior Software Engineer to join our team in building and scaling our next-generation automated translation and localization platform. In this role, you will work closely with our engineering and product teams to integrate state-of-the-art AI/LLM models and machine translation engines into our enterprise content-processing ecosystem. You will design and implement high-performance microservices, event-driven pipelines, and robust APIs to support global media expansion, multi-language publishing, and real-time content delivery. Key Responsibilities - Platform Development: Develop and enhance core translation services and backend applications using Java and Spring Boot. - AI & LLM Integration: Integrate cutting-edge AI/LLM translation capabilities and direct LLM/machine translation provider APIs into our content processing infrastructure. - Optimization & Evaluation: Support direct integrations with translation providers; continually evaluate and improve translation quality, system scalability, cost efficiency, and latency. - API & Event Pipelines: Build highly available, reliable REST APIs and Kafka-driven asynchronous pipelines for processing high-volume content and translation tasks. - Operational Excellence: Implement end-to-end monitoring, logging, error handling, retries, automated testing, and validation mechanisms for complex translation workflows. - Scale & Performance: Drive performance tuning and architecture enhancements to handle increasing translation volumes seamlessly. - Production Support: Assist with production deployments, CI/CD pipelines, system monitoring, and troubleshooting to ensure platform stability. - Cross-Functional Collaboration: Partner with cross-functional engineering teams, product managers, and key stakeholders on technical design, system architecture, code reviews, and documentation. - Global Expansion: Contribute to the long-term evolution of the platform to support international expansion, additional languages, and diverse content formats across major media brands (including WSJ and international outlets). Qualifications & Skills Required: - Core Backend: Proven expertise in Java and Spring Boot for building scalable RESTful APIs and enterprise microservices. - Cloud & Infrastructure: Hands-on experience with Google Cloud Platform (GCP) or other major public cloud environments. - Event-Driven Architecture: Experience with Apache Kafka or similar messaging systems for event-driven architectures and streaming pipelines. - AI / Translation Tech: Experience integrating LLMs, AI APIs , or Machine Translation (MT) technologies and multilingual content workflows. - Software Engineering Practices: Proficiency with Git, CI/CD pipelines, automated testing (unit, integration, e2e), code reviews, and Agile methodologies. - Communication: Excellent technical communication skills with fluency in written and spoken English. Preferred / Nice to Have: - Prior experience building or maintaining content management platforms (CMS) , digital publishing systems, or media workflows. - Experience evaluating LLM prompt engineering, fine-tuning, or MT quality estimation metrics (e.g., BLEU, COMET). What we offer: - A High-Impact Environment - Commitment to Professional Development - Flexible and Collaborative Culture - Global Opportunities - Vibrant Community - Total Rewards *Specific benefits are determined by the employment type and location. Find out more about our culture here .