Technical Support Engineer (AI)

TL;DR

Technical Support Engineer (AI): Monitoring and optimizing real-world AI computer vision deployments in retail environments with an accent on complex edge/cloud infrastructure and system troubleshooting. Focus on investigating technical issues, building internal tools for automated operations, and acting as the technical interface between customers and engineering teams.

Location: Must be based in Berlin, Germany (Hybrid: 3 days in-office)

Company

hirify.global is a fast-growing company developing and deploying real-world computer vision AI systems for the retail industry.

What you will do

• Monitor and analyze live production systems using logs, telemetry, and video data.
• Investigate and resolve complex technical issues related to networking, hardware, and deployments.
• Act as the primary technical interface to customers during rollouts and incident resolution.
• Develop internal tools and automation scripts to scale support and improve operational efficiency.
• Collaborate with engineering teams to identify root causes and enhance overall system robustness.
• Support on-site deployments as needed across Germany and Europe.

Requirements

• Hands-on experience with Linux systems and command-line debugging.
• Proficiency in Git for collaborative version control.
• Programming experience in Python or C++ to debug and write scripts.
• Fundamental understanding of networking concepts such as connectivity and ports.
• Fluent in both German and English for clear technical communication.
• Strong analytical mindset and high level of ownership in customer-facing scenarios.

Nice to have

• Experience with Docker and containerized environments.
• Basic knowledge of SQL databases and data analysis.
• Exposure to distributed or edge computing systems.
• Familiarity with observability and monitoring tools.
• Background in computer vision, field engineering, or system deployment.

Culture & Benefits

• Direct impact on real-world AI systems deployed in stores globally.
• Steep learning curve with deep exposure to Linux, networking, and distributed AI systems.
• Growth path into infrastructure, DevOps, or MLOps roles.
• Collaboration with a highly experienced international team from top-tier tech companies.
• Opportunity to influence system improvements and work closely with core engineers.
• Hands-on role with involvement in end-to-end production deployments.