Location: London, UK or Cairo, Egypt   |   Full-Time
Backend Python Java Go Distributed Systems AI Engineer Back End Engineer 
ko-br is building Physical AI for warehouses, solving complex tasks like palletizing, kitting, and pick-and-pack operations. We are looking for a hands-on Backend Engineer to join our team and build the scalable backend systems that power our AI and robotics products.

About ko-br:
ko-br builds Physical AI for warehouses—solving palletizing, kitting, and pick-and-pack tasks that traditional automation systems haven't cracked. Our tech lets cobots adapt to mixed SKUs, grip slips, and chaotic environments in real time without reconfiguration or coding. We believe in Data Dignity, where humans are respected and compensated for teaching machines, sharing in the value their knowledge creates.

Responsibilities:
- Design, develop, and maintain backend services for our AI and robotics products
- Collaborate with data scientists and ML engineers to build and deploy machine learning models
- Ensure the scalability, reliability, and performance of our backend infrastructure
- Work with frontend and mobile teams to deliver a seamless user experience
- Optimize database queries and API performance
- Implement security best practices and ensure data protection

Requirements:
- Proven experience in backend development with languages like Python, Java, or Go
- Strong understanding of distributed systems and microservices architecture
- Experience with databases (SQL and NoSQL) and API design
- Familiarity with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes)
- Excellent problem-solving skills and attention to detail
- Ability to work in a fast-paced, collaborative environment
- Bachelor's degree in Computer Science or related field, or equivalent practical experience

Why join ko-br?
- Work with state-of-the-art AI and real cobots (UR, ABB, KUKA)
- Build tech that solves valuable problems—today
- Competitive salary with equity opportunities
- Remote-first culture with flexible schedules
- Opportunities for professional growth and learning
- Collaborative team with diverse backgrounds and expertise
Post Date: July 2, 2025