Haldorix, a startup studio based in Casablanca, specializes in transforming operational challenges into scalable business opportunities through technology. The company focuses on industries such as manufacturing, retail, and logistics, creating dedicated solutions that evolve into standalone products. Two flagship ventures include DeVisu, a computer‑vision solution for operational optimization, and Nitra3AI, a generative AI platform for industrial performance enhancement.

As a Tech Architect, you will spearhead the architecture and validation of a cutting‑edge industrial vision system. Your responsibilities include:

• Architecture & Design: Define the overall system architecture, ensuring cohesion across components and technologies.
• Field Deployment: Oversee on‑site installation and calibration of AprilTags, cameras, and network components.
• Quality Assurance: Coordinate QA activities and conduct end‑to‑end acceptance testing in production environments.
• Monitoring Setup: Configure and validate observability dashboards using Grafana and business‑specific KPIs.
• Documentation: Produce comprehensive technical and operational documentation to support deployment and scalability.
• Cross‑Functional Collaboration: Act as the bridge between technical and business stakeholders, ensuring alignment between field needs and system capabilities.
• Continuous Improvement: Identify optimization opportunities and propose architecture adjustments based on real‑world performance feedback.

You will join a multidisciplinary task force of engineers, computer‑vision experts, and product innovators working under Haldorix’s venture‑building model. Collaboration is tight‑knit and execution‑driven, with every decision directly impacting the success of the project. You will work alongside technical leads and collaborate with on‑site operators to validate system performance in real conditions.

Required qualifications include:

• 3+ years of experience in system architecture.
• Strong understanding of resilient, distributed systems design.
• Hands‑on knowledge of Kubernetes, Prometheus, and Grafana.
• Familiarity with computer‑vision systems and on‑field hardware calibration.
• Solid foundation in QA methodologies and field validation processes.
• Excellent communication and documentation skills in English and/or French.

Nice to have:

• Prior experience in industrial automation or IoT environments.
• Familiarity with AprilTags, camera calibration, or real‑time data pipelines.
• Exposure to Python, FastAPI, or edge‑AI deployment workflows.
• Previous work in a startup environment.

Benefits include immediate impact through a high‑intensity, real‑world project, the opportunity to shape a new industrial AI venture from its early stages, and a mission‑driven environment that values autonomy, clarity, and purpose.

The recruitment process involves a Jobzyn AI interview (25–45 min), a technical interview with the Lead Developer or Technical Architect, a practical test based on a real‑world use‑case, and a final interview with the team and partners.