Technical Support Engineer - Retail AI Systems (all genders)

Technical Support Engineer - Retail AI Systems (all genders)

Join Nomitri and help bring real-world AI systems into production. We deploy computer vision solutions into retail environments across multiple countries — operating in complex edge + cloud setups and processing millions of events daily.

We’re looking for a highly analytical, hands‑on engineer who enjoys digging into complex systems , solving real-world problems, and growing into a key role at the intersection of support, infrastructure, and AI systems .

Location: Berlin, Germany (hybrid)

What you'll do

• Monitor and analyze live systems across stores using logs, telemetry, and video data.
• Investigate and resolve issues in real-world environments (networking, configuration, hardware, deployments).
• Support and validate deployments — from preparation to rollout in production.
• Act as a technical interface to customers during rollouts and incident resolution.
• Work closely with engineering to identify root causes and improve system robustness.
• Build internal tools, scripts, and automated checks to scale support and operations.
• Document recurring issues and establish best practices for troubleshooting.
• Occasionally support on-site deployments across Germany and Europe.

What you bring

• Hands‑on experience with Linux systems (CLI, debugging, system interaction).
• Comfortable working with Git in collaborative environments.
• Programming experience (e.g. Python, C++, or similar) — you can debug and write small tools/scripts.
• Basic understanding of networking fundamentals (e.g. connectivity, services, ports).
• Fluent German and English, with the ability to communicate clearly in technical contexts.
• Strong analytical mindset — you enjoy investigating issues and finding root causes.
• High ownership and reliability, especially in customer‑facing situations.

Nice to have

• Experience with Docker or containerized environments.
• Basic knowledge of databases or data analysis (SQL, scripting).
• Exposure to distributed or edge systems (on‑prem + cloud).
• Familiarity with monitoring, alerting, or observability tools.
• Experience with computer vision, video systems, or AI‑based applications.
• Background in technical support, field engineering, or system deployment.
• Real‑world impact: Your work directly affects live systems used in stores across multiple countries.
• Steep learning curve: Deep exposure to Linux, networking, distributed systems, and AI‑powered applications.
• Bridge role: Grow beyond support into infrastructure, DevOps, or MLOps over time.
• Hands‑on from day one: Work on real deployments, not just internal tooling.
• Close to the product: Collaborate directly with core engineers and influence system improvements.
• Learn from top engineers: Work closely with a highly experienced, international team (ex‑Meta, Amazon, Qualcomm, ASML, …).
• Strong growth potential: Ideal role for ambitious engineers who want to quickly expand their technical scope.

Sounds good? If you enjoy solving real problems in complex systems and want to grow fast — we should talk.

We are an international company and welcome everyone, regardless of gender, skin color, religion or origin. All content published on our career portal is aimed equally at all applicants! #GKEqualOpportunityEmployer