AI and Data Systems Engineer

Job Summary

To support the Data Architecture & Engineering team, the remote AI and Data Systems Engineer will implement internal tools and applications, manage infrastructure for AI tools, and write clean code while collaborating with stakeholders to deliver effective solutions.

Key responsibilities

• Implement internal tools and applications based on architectural direction, transforming prototypes into production-grade systems
• Manage and maintain infrastructure for AI tools, including deployment, configuration, monitoring, and incident response
• Collaborate with stakeholders to understand requirements and deliver solutions that meet actual needs

Required qualifications

• 3 - 6 years of experience in software development, data engineering, and DevOps
• Experience deploying AI solutions in production environments, including model integration and API usage
• Proficiency in at least one programming language, such as Python
• Experience with data pipelines, APIs, and cloud data platforms
• Familiarity with DevOps practices, CI/CD pipelines, and cloud infrastructure (AWS, GCP, or Azure)