ai engineer for multilingual translation platforms

Wizeline; Barcelona; On-site; EUR 55,000 - 90,000; Full time

Job summary

Wizeline приглашает опытного Java‑инженера в Барселоне для разработки масштабируемых платформ перевода и контент‑обработки с использованием Java, Spring Boot и микро‑сервисной архитектуры.

Вы будете внедрять LLM‑ и AI‑потоки, проектировать API, интегрировать с облачными сервисами GCP и Kafka, обеспечивать надежность, тестирование и мониторинг, участвовать в CI/CD и техническом дизайне с командой.

Qualifications

• Степень в области STEM или эквивалентный опыт работы
• Опыт разработки корпоративных приложений на Java и Spring Boot
• Опыт разработки REST API и микросервисов
• Практика работы в облаке, предпочтительно GCP
• Опыт с Kafka и интеграцией LLM/AI-приложений
• Знания Git, CI/CD, автоматического тестирования и Agile

Responsibilities

• Разрабатывать и развивать масштабируемые платформы контента и перевода на Java, Spring Boot и микросервисной архитектуре
• Встраивать LLM- и IA-потоки в бизнес‑процессы обработки контента
• Создавать надежные API и сервисы для обработки запросов на перевод
• Интегрировать с поставщиками ML/AI и оценивать качество перевода, масштабируемость и задержки
• Проектировать архитектуру с использованием Kafka для высоких объемов
• Обеспечивать мониторинг, логирование, обработку ошибок и устойчивость систем
• Проводить тестирование, участвовать в CI/CD и документации

Skills

Java

Spring Boot

REST APIs

Microservices

CI/CD

Agile methodologies

English communication

LLM/AI integration

GCP

Education

Bachelor's or Master's in CS/Engineering/Data Science

Tools

Google Cloud Platform

Apache Kafka

Docker

Cloud Run / Pub/Sub

Job description

Описание:

Wizeline is a global AI-native technology solutions provider that develops AI-powered digital products and platforms. It partners with clients to leverage data and AI, accelerate market entry, and drive business transformation.

Задачи:

• Design, develop, and enhance scalable content and translation platforms using Java, Spring Boot, REST APIs, and microservices architectures
• Build and integrate LLM- and AI-powered translation capabilities into enterprise content-processing workflows
• Develop reliable APIs and backend services for translation requests, processing, and results, ensuring scalability, performance, and maintainability
• Integrate with AI/LLM and machine-translation providers, evaluating opportunities to improve translation quality, scalability, cost, and latency
• Design and implement event-driven architectures using technologies such as Apache Kafka to support high-volume content-processing pipelines
• Integrate translation and content services with existing enterprise platforms, APIs, and downstream systems
• Develop solutions for multilingual content processing, supporting multiple languages, content types, and international publishing requirements
• Implement error handling, retries, monitoring, logging, alerting, and other operational capabilities for reliable production systems
• Develop automated tests and validation mechanisms for translation workflow and service quality and reliability
• Improve performance and scalability as content and translation volumes increase
• Support production deployments, troubleshooting, incident resolution, and ongoing operational improvements
• Collaborate with engineering, product, and client stakeholders to define technical solutions, participate in design discussions, and translate business requirements into scalable software
• Contribute to technical documentation, code reviews, CI/CD practices, and engineering standards
• Help evolve the platform architecture to support international expansion, additional languages, and new content types
• Stay current with developments in GenAI, LLMs, machine translation, multilingual NLP, cloud technologies and distributed systems, applying relevant practices to production solutions

Требования:

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related STEM field, or equivalent practical experience
• At least 4 years of professional software engineering experience, including strong experience developing enterprise applications with Java and Spring Boot
• Strong experience designing and developing REST APIs and microservices
• Hands-on experience with cloud-based application development, preferably on Google Cloud Platform (GCP)
• Practical experience with Apache Kafka or similar event-driven messaging technologies
• Experience developing or integrating LLM/AI-powered applications and APIs in production or enterprise environments
• Experience with machine translation, multilingual content processing, NLP, or related AI-driven content technologies
• Strong understanding of software engineering practices, including Git, CI/CD, automated testing, code reviews, and Agile methodologies
• Experience integrating applications with existing enterprise platforms, APIs, and third-party services
• Ability to troubleshoot production issues and contribute to monitoring, logging, performance optimization, and operational support
• Strong written and verbal English communication skills
• Будет плюсом: experience with content-management, publishing, media, or digital content platforms; experience with LLM providers, AI APIs, or machine-translation platforms such as Google Cloud Translation, Azure AI Translator, AWS Translate, or equivalent services; familiarity with Google Cloud Platform services such as GKE, Cloud Run, Pub/Sub, Cloud Storage, BigQuery, or similar; experience with multilingual NLP, translation quality evaluation, language detection, or localization workflows; familiarity with AI/LLM orchestration frameworks and tools such as LangChain, LangGraph, LangSmith, or equivalent; experience implementing observability solutions using tools such as Cloud Monitoring, Cloud Logging, Datadog, Grafana, or equivalent; experience with Docker and containerized application deployments; experience with high-volume, distributed, or latency-sensitive systems; familiarity with media or publishing workflows, content pipelines, editorial systems, or international content distribution; comfort using AI tools to optimize day-to-day work, including development, analysis, research, testing, and automation, with the ability to identify opportunities to improve engineering workflows

Условия:

Specific benefits are determined by employment type and location