Java & LLM/AI Software Engineer - Barcelona (Hybrid)
WIZELINE Barcelona, Catalonia, Spain
IT Services and IT Consulting · 1,001-5,000 employees
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About the role
Develop and enhance core translation services and backend applications using Java and Spring Boot. Integrate AI/LLM models and machine translation engines into the enterprise content-processing ecosystem.
What they look for
Requirements
Requires proven expertise in Java, Spring Boot, and building scalable microservices. Candidates must have experience with cloud environments, event-driven architectures like Kafka, and AI/LLM integration.
Benefits
Full description
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.
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