AI Engineer

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?

Sounds awesome, right? Now, let's make sure you're a good fit for the role:

Key Responsibilities

• 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.