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

Wizeline BarcelonaEst. Est. EUR 45,000–65,000 / yearSenior

Estimated range based on role, country and industry — not published by the company.

Key requirements

  • Java
  • Gcp
  • Ci/Cd
  • Llm
  • Agile
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 h

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