Staff Engineer, Field Service (R6120)

AI in this role

computer-vision

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.

Job Description:

At Shield AI, we are developing autonomy solutions that enhance mission effectiveness and operational decision-making. Our Vision Systems / Hivemind Vision portfolio applies computer vision and AI/ML technologies to help defense, government, and commercial customers gain actionable information from optical sensors.

As a Vision Systems Demonstration & Training Specialist on the demonstration and training team, you will support customer demonstrations, operator training, and operational adoption across the portfolio. Working closely with product management, engineering, and business development, you will help customers understand, evaluate, and effectively employ our capabilities.

This role requires operational credibility, technical fluency, and a strong instinct for teaching and customer engagement. The ideal candidate understands the demands facing sensor operators and intelligence teams—including real-time workload, competing mission priorities, and the challenges of integrating multiple sensors and information sources—and brings that perspective to every demonstration, training event, and customer interaction.

How we rate this

Staff Engineer, Field Service (R6120) at Shield AI rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Computer Vision

Questions you could be asked

Walk me through a computer vision problem you solved, from raw data to a deployed model.
Describe a typical day in a role like this one: which parts run through AI directly?
If you removed AI from this role, what would be left, and how do you decide what still needs a human?

Adapt your resume

List these exact terms on your resume: Computer Vision. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.

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