About the role We’re looking for a full-stack engineer to work closely with our client on several AI-heavy projects running in parallel. This isn’t a typical feature-shipping role. Much of your time will go into designing and building AI feedback loops: systems where autonomous coding agents run continuously, and your job is to make them productive, reliable, and well-supervised.
You’ll work across: * Computer vision web apps: web applications built around image and video understanding * Insurance automation data pipelines: pipelines that ingest, process, and automate insurance workflows * React Native apps: several mobile apps that will be built largely by an AI agent. Your focus will be building and improving that agent, not hand-writing every screen.
What you’ll do * Design and run AI-assisted development loops, including agents that operate around the clock * Build the tooling, evaluation, and feedback mechanisms that keep those agents on track * Architect and ship AWS-native solutions, including containerized workflows * Move between multiple projects regularly and keep momentum on each * Collaborate closely and communicate clearly in English throughout the day
What we’re looking for Required * 5+ years of professional full-stack development experience * Strong proficiency in at least two of: Python, Ruby, JavaScript * Hands-on experience with AWS-native architectures * Solid understanding of container workflows (Docker, ECS/EKS or similar), and the ability to discuss them in depth * Practical experience with AI-assisted development: working with coding agents, structuring their tasks, and managing long-running or continuous agent loops * Good written and spoken English * Ability to work with substantial overlap with CST business hours (at least 3-4 hours of overlap) * Comfort with frequent context switching across several active projects * Uninterruptible power and internet setup, staying far from the war zone (in case of living in Ukraine)
Nice to have * React Native experience * Background in computer vision or ML-powered applications * Experience building data pipelines, especially in insurance or other regulated domains
