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

WIZELINE

Barcelona

Presencial

EUR 85.000 - 125.000

Jornada completa

14 días+

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Ventajas ofrecidas por este puesto de trabajo

High-Impact Environment
Commitment to Professional Development
Flexible and Collaborative Culture
Global Opportunities
Vibrant Community
Total Rewards

Descripción de la vacante

Wizeline in Barcelona is seeking a Senior Software Engineer to design and scale our AI-powered translation platform. You will build high-performance microservices in Java and Spring Boot, and integrate LLM APIs to support multilingual content workflows.

Join a collaborative, fast-growing team. You’ll own REST APIs and Kafka-driven pipelines, ensure reliability with CI/CD and monitoring, and partner with product and engineering to drive global expansion.

Formación

  • Proven backend engineer with Java and Spring Boot for scalable APIs.
  • Experience integrating LLM/AI APIs and MT workflows.
  • Hands-on with cloud platforms (GCP) and microservices architectures.
  • Familiarity with event-driven pipelines and Kafka.
  • Experience with Git, CI/CD, and automated testing in Agile teams.
  • Excellent technical communication in English.

Responsabilidades

  • Develop and scale core translation services and backend applications using Java and Spring Boot.
  • Integrate AI/LLM translation capabilities and APIs into content processing infrastructure.
  • Improve translation quality, system scalability, cost efficiency, and latency.
  • Build REST APIs and Kafka-driven pipelines for high-volume content tasks.
  • Implement monitoring, logging, error handling, and automated testing.
  • Drive performance tuning and architecture enhancements for increasing translation volumes.
  • Support production deployments, CI/CD pipelines, and monitoring.
  • Collaborate with cross-functional teams on technical design and documentation.
  • Contribute to international expansion and multilingual content workflows.

Conocimientos

Java
Spring Boot
GCP
Apache Kafka
LLMs
AI APIs
Machine Translation
Git
CI/CD
Automated testing
Agile methodologies
English communication

Herramientas

Kafka

Descripción del empleo

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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