Edge Vision AI Engineer: Multimodal VLMs

MaxIT Consulting - Max Corporate Group; California; On-site; USD 140,000 - 190,000; Full time

Job summary

MaxIT Consulting - Max Corporate Group is seeking an Applied AI Engineer for the SF Bay Area. This on-site role focuses on building AI systems for real-world industrial environments, emphasizing multimodal vision-language capabilities and edge-aware deployment.

You will own critical AI components, ship production-ready models, and work in hardware-constrained environments to support complex workflows.

Qualifications

• 1–5 years of related professional experience.
• Hands-on shipping CV, multimodal, or vision-language systems to production.
• Strong practical understanding of visual AI for images and/or video.
• Experience owning end-to-end technical systems in real-time, edge, or hardware-constrained environments.
• Strong software engineering fundamentals and a high level of technical ownership.

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

VLM systems

Edge computing

Production deployment

Computer vision

Software fundamentals

Technical ownership

Tools

Python

PyTorch

TensorFlow

Job description

SF Bay Area, California | Fully On-site

We are seeking an Applied AI Engineer to join an early-stage technology company building AI systems for real-world industrial environments. This role focuses on multimodal visual intelligence running in hardware-constrained environments and supporting complex physical workflows.

SF Bay Area, California | Fully On-site

We are seeking an Applied AI Engineer to join an early-stage technology company building AI systems for real-world industrial environments. This role focuses on multimodal visual intelligence running in hardware-constrained environments and supporting complex physical workflows.

The Opportunity

You will own critical parts of the AI layer, building and deploying vision-language systems that reason over images and video in real customer environments. The role combines applied AI, computer vision, evaluation systems, and production engineering.

Key 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.
  
  
  

Required Qualifications

• Approximately 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 exclusively on research prototypes.
• Comfort operating in real-time, edge, hardware-constrained, or connectivity-constrained environments.
• Strong software engineering fundamentals and a high level of technical ownership.
  
  
  

Candidate Profile

The strongest candidates are practical builders who have shipped real systems with real users. Experience in robotics, autonomous systems, drones, wearables, real-time video, edge computing, or adjacent physical-world AI domains is highly relevant.

Work Arrangement

This position is fully in person in the San Francisco Bay Area. The initial working location is in Burlingame, with the team expected to transition to a San Francisco office.

Work Authorization

Candidates must be able to work in the United States. Certain visa sponsorship, transfer, or change-of-status scenarios may be supported for candidates already located in the United States. New petitions requiring processing from abroad are not supported at this time.