Senior AI Engineer (Barcelona-Spain)

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 theres no limit to what we can achieve.

Are you a fit

Sounds awesome right Now lets make sure youre a good fit for the role:

• Design develop and enhance scalable content and translation platforms using Java and 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 robust error handling retries monitoring logging alerting and other operational capabilities required for reliable production systems.
• Develop automated tests and validation mechanisms to ensure the quality and reliability of translation workflows and services.
• Contribute to performance and scalability improvements as content and translation volumes increase.
• Support production deployments troubleshooting incident resolution and ongoing operational improvements.
• Collaborate closely 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 future 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.

• Bachelors or Masters degree in Computer Science Engineering Data Science or a related STEM field or equivalent practical experience.
• 4 years of professional software engineering experience with strong experience developing enterprise applications using 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 with the ability to communicate effectively with technical teams and stakeholders.

• Experience with content-management publishing media or digital content platforms.
• Experience working 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 working with high-volume distributed or latency-sensitive systems.
• Familiarity with media or publishing workflows content pipelines editorial systems or international content distribution.
• AI Tooling Proficiency: 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.

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

*Specific benefits are determined by employment type and location.

Find out more about our culture here.