A complete application in a minute — tailored resume and cover letter, ready to send.
Focal Systems is hiring a Full Stack Software Engineer to join a remote Poland team. You will craft robust Python backends and REST APIs, alongside React/TypeScript frontend features, touching data from IoT devices across retailers worldwide.
You’ll own features end-to-end, ship weekly, and align with product goals. The role emphasizes ownership, data-driven decisions, and collaboration with global colleagues.
Position: Full Stack Software EngineerLocation: 100% Remote in PolandType: This can be structured as a B2B contract or as an Employment Contract with full benefits.Salary: $120,250 - $146,250 + stock options.
Focal Systemsis the industry leader in retail AI solutions. We are headquartered in San Francisco, California with operations in Canada and the UK, and a tech-hub in Poland. We are a Deep Learning first company. Our mission is to automate and optimize brick and mortar retail using deep learning computer vision. Focal Systems has been deployed at scale with some of the top retailers in the world. We seek smart, creative and passionate people who want to help build a great and enduring company and deploy Deep Learning to the world!
What we’re looking for
We're looking for a full-stack engineer with a strong backend foundation (Python) who's equally comfortable working in React when the product needs it. Think 60/40 backend-to-frontend — you'll spend the majority of your time building APIs, data pipelines, and backend services, but you'll regularly contribute to our React/TypeScript frontend and won't treat it as someone else's problem. You'll work on systems that process data from hundreds of thousands of IoT devices deployed across major grocery retail chains worldwide. Your code will power the tools that store employees use daily — from planogram compliance to shelf monitoring powered by computer vision. We're not looking for someone who just writes code to spec. We need someone who understands why they're building something, validates whether it actually solves the problem, and takes ownership of the outcome. You'll dig into data, talk to internal stakeholders, and sometimes prototype directly in production to test an idea before investing in a full build. Our problem space is broad, and our teams lean. Every engineer has massive ownership. We use AI as a pragmatic tool to move faster, not to follow trends. Expect to ship every week in an environment that values shipping over ceremony.
- We are a tightly-knit team with an ambitious mission and a strong set of core…