Applied AI Engineer, Vision & VLMs for Edge Systems

MaxIT Consulting - Max Corporate Group; California (MO); On-site; USD 120,000 - 200,000; Full time

Job summary

MaxIT Consulting - Max Corporate Group is seeking an Applied AI Engineer to join an early-stage technology company building AI systems for real-world industrial environments. The role focuses on multimodal visual intelligence running in hardware-constrained environments and supporting complex physical workflows.

The opportunity involves owning critical parts of the AI layer, building and deploying vision-language systems that reason over images and video in real customer environments, and

Qualifications

• 1–5 years of relevant professional experience.
• Hands-on experience shipping computer vision, multimodal, or vision-language systems to production.
• Strong practical understanding of visual AI applied to images and/or video.
• Experience owning technical systems end to end.

Responsibilities

• Build and deploy agentic vision-language systems for real-world industrial workflows.
• Develop multimodal reasoning capabilities across images and video.
• Work with detection, segmentation, visual reasoning, VLMs, and related applied computer vision techniques.
• Own model orchestration and production deployment across hardware-constrained environments.
• Design and maintain evaluation systems including ground-truth datasets, trajectory evaluation, and regression testing.
• Iterate on production models based on real-world usage and measurable system performance.

Skills

CV in production

Vision-language systems

Edge deployment

End-to-end ownership

Real-time constraints

Job description

MaxIT Consulting - Max Corporate Group is seeking an Applied AI Engineer to join an early-stage technology company building AI systems for real-world industrial environments. The role focuses on multimodal visual intelligence running in hardware-constrained environments and supporting complex physical workflows.

The opportunity involves owning critical parts of the AI layer, building and deploying vision-language systems that reason over images and video in real customer environments, and