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.

Stay current with developments in

GenAI, LLMs, machine translation, multilingual NLP, cloud technologies, and distributed systems , applying relevant practices to production solutions.

Must-have Skills

Bachelor's or Master's 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.

Nice-to-have

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.

What we offer

A High-Impact Environment

Commitment to Professional Development

Flexible and Collaborative Culture

General Opportunities

Vibrant Community

Total Rewards

*Specific benefits are determined by employment type and location.

Find out more about our culture here.

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📌 Senior AI Engineer (Madrid)
🏢 Localization Academy
📍 Madrid