Applied AI Engineer: Real‑World Vision-Language at the Edge

MaxIT Consulting - Max Corporate Group; San Francisco (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

MaxIT Consulting - Max Corporate Group is seeking an Applied AI Engineer for an on-site role in the San Francisco Bay Area. You will own critical AI components, building and deploying multimodal vision-language systems that operate in real customer environments and hardware-constrained settings.

Responsibilities include developing multimodal reasoning across images and video, and scaling production systems end-to-end with robust evaluation and testing.

Qualifications

• 1 to 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 rather than working on research prototypes.

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

Computer Vision

Multimodal Systems

Edge Computing

Production Deployment

Python

Software Engineering Fundamentals

Tools

PyTorch

TensorFlow

ONNX

CUDA

Job description

MaxIT Consulting - Max Corporate Group is seeking an Applied AI Engineer for an on-site role in the San Francisco Bay Area. You will own critical AI components, building and deploying multimodal vision-language systems that operate in real customer environments and hardware-constrained settings.

Responsibilities include developing multimodal reasoning across images and video, and scaling production systems end-to-end with robust evaluation and testing.