Wizeline

Java & LLM/AI Software Engineer - Barcelona

Wizeline · Barcelona, Spain
Barcelona, Spain Posted 2026-10-07
Type
Full-time

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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