Full Stack Engineer

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

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