Jobs

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

Wizeline

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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 .

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