We’re looking for a Full Stack Developer with hands-on experience in YOLO object detection, Amazon AWS, and MongoDB to join a mission-driven team transforming drone imagery into life-saving insights. This is a full-time, in-office role with hourly pay, benefits, and DOE (negotiable).
Do not pass up this chance, apply quickly if your experience and skills match what is in the following description.
Join a platform that turns drone footage into actionable intelligence for search & rescue, public safety, and crisis response. You’ll build tools that combine AI and human validation to process visual data faster, smarter, and at scale.
What You’ll Do :Develop and maintain a full stack platform handling real-time and batch data.Integrate YOLO-based object detection for images and video.Manage and optimize cloud systems using Amazon AWS.Work with MongoDB for large-scale image and video storage.Collaborate with AI engineers, analysts, and other developers to enhance features.Build frontend interfaces for mission management and data analysis.What You Bring :Proven full stack development experience (frontend + backend).Strong YOLO object detection expertise.Hands-on experience with Amazon AWS cloud services.Experience with MongoDB or similar NoSQL databases.Familiarity with AI integration and image / video processing pipelines.Ability to thrive in a fast-paced, mission-driven environment.Perks & Benefits :Competitive hourly pay (DOE, negotiable)Health benefitsWork on life-saving, high-impact projectsCollaborative, innovative team environmentReady to make a difference?Send your resume to : aimee@ewumedia.com
Subject line : _Full Stack Developer Application_
Job Type : Full-time
Pay : $50,000.00 - $80,000.00 per year
Benefits :
Health insuranceApplication Question(s) :
Describe your experience with YOLO object detection. Which projects or applications have you used it in?Have you integrated AI / ML models into full stack applications? Please provide an example.What frontend and backend frameworks are you most comfortable with?How do you handle large-scale image or video processing efficiently?Ability to Commute :
Sparks, NV 89436 (Required)Work Location : In person