Note: The job is a remote job and is open to candidates in USA. RAIA - Rede de Avanço em Inteligência Artificial is seeking an Integration Engineer to work part-time in a remote capacity. The role focuses on designing, implementing, and maintaining integrations between AI systems and internal platforms, while collaborating with various stakeholders to ensure system interoperability and performance optimization.
Responsibilities
- Analyzing system requirements
- Developing and testing integration workflows and APIs
- Troubleshooting issues to ensure reliable data exchange and system interoperability
- Collaborating with software engineers, data scientists, and external stakeholders to define integration standards
- Optimizing performance
- Maintaining documentation of interfaces and architecture
- Contributing to continuous improvement initiatives
- Monitoring integration health
- Proposing enhancements
- Supporting deployment and maintenance activities across RAIA’s projects
Skills
- Strong Analytical Skills to assess system requirements, debug complex issues, and evaluate integration performance
- Proficiency in Troubleshooting and problem-solving for integration failures, connectivity issues, and performance bottlenecks
- Experience in Software Development (e.g., Python, Java, or similar), including working with APIs, microservices, and automation scripts
- Hands-on experience with Integration tasks such as API orchestration, ETL processes, middleware platforms, and data pipelines
- Background in Systems Engineering, including understanding of distributed systems, network protocols, and security best practices
- Ability to work independently in a remote setting, manage part-time hours effectively, and collaborate with multidisciplinary teams
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
- Proficient written and spoken communication skills in English
- Familiarity with cloud environments (e.g., AWS, GCP, Azure) and containerization tools (e.g., Docker, Kubernetes) is beneficial
- Experience integrating AI or data-intensive applications, or working with ML pipelines, is a strong plus
- Portuguese language skills are advantageous
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