Java & LLM/AI Software Engineer - Barcelona (Hybrid)
Wizeline
- Location
- Barcelona, Cataluña, ESP
- Track
- LLM Engineer
- Level
- Senior
- Posted
- October 7, 2026
- Source
- Built In
Job 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 .