Field Engineer
FloVision Solutions
Field Engineer
FloVision Solutions
AI-driven yield and quality analytics
About FloVisionWe build computer vision systems that help protein processors waste less food, catch quality issues earlier and run their lines more efficiently. Our mission is to cut global CO₂ emissions by 1% by reducing food waste. We’re a Series A startup with a small, distributed team across the US, UK and Ireland.
The roleYou’ll be the person who gets our hardware into customer plants and keeps it running. Most of your time is in the field: scoping sites, installing and commissioning systems, and fixing problems as they come up. When you see the same issue twice, you’ll design the fix, build it and roll it out.
Between trips, you’ll work out of our Chicago workshop. You’ll run it day to day, using it to prototype, build test rigs, reproduce field issues and prep kits for the next install.
You’ll love this role if you like working with your hands, solving problems on the spot and seeing your work running on a real production line.
What you’ll do
What you bring
Bonus points
Travel and work environment
Pay and benefits
Why FloVision
How hiring works
We’ll keep you updated at every step.
Don’t check every box? Apply anyway. If you’re excited about this work, we’d love to hear from you.
U.S. Remote Pay Range 95000 - 115000 USD
AI-driven yield and quality analytics
FloVision Solutions uses AI-powered analytics to improve yield and quality in protein production and broader food processing. Its system places compact sensors on conveyors and processing stations to scan products in real time, collecting vision, depth, and load-cell data to detect defects, misgrades, and foreign objects, with on‑the‑spot sorting or rejection and matching to customer specs, all feeding a centralized dashboard for monitoring trends. The platform differentiates itself through real-time, automated quality checks and data-driven decision support that translate into measurable gains, such as yield improvements and faster decision-making, with ROI reported by customers. The company aims to help food processors reduce waste, improve yield, and maintain consistent quality through continuous, data‑driven monitoring and control.
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