Preparing for an interview at Rad Ai requires a balanced approach that combines strong coding fundamentals with a deep appreciation for software craftsmanship. The team looks for engineers who do not just write code that works, but who build systems that are maintainable, extensible, and resilient.

Technical Craftsmanship – You must demonstrate a commitment to writing clean, well-documented, and highly testable code. Whether you are working in TypeScript or Python, focus on proper modularization, clear naming conventions, and robust error handling.

Systemic Thinking – Interviewers want to see how you approach high-level system design. Be prepared to discuss data flow, state management, latency, and how your architectural choices impact the overall scalability of the application.

Pragmatic Problem-Solving – While elegant architecture is highly valued, you must also show that you can deliver practical solutions to complex problems. Show how you balance ideal engineering practices with real-world constraints like time, resources, and product requirements.

Collaborative Communication – The interview process, particularly the code review stage, is highly interactive. You should practice articulating your technical decisions clearly, accepting constructive feedback gracefully, and explaining complex technical concepts in a simple manner.

The interview process at Rad Ai is designed to evaluate both your practical coding skills and your high-level architectural thinking. It begins with a standard recruiter screen to align on your background, career goals, and expectations. This is followed by a rigorous technical evaluation that heavily emphasizes hands-on implementation and system design.

The core of the technical assessment is a take-home coding challenge, which candidates are typically given a 48-hour window to complete. This assessment is highly comprehensive and is designed to simulate a real-world engineering problem that the team has previously tackled. Following the take-home, successful candidates move on to a detailed code review session with the team and a dedicated systems design interview with a principal architect or engineering leader.

The visual timeline above outlines the standard progression of the Software Engineer interview process at Rad Ai. Candidates should expect the entire process to take approximately two to three weeks from the initial screen to the final decision. Use this timeline to pace your preparation, ensuring you allocate ample time to practice system design concepts alongside your coding preparation.

To succeed at Rad Ai, you must perform consistently across several key evaluation areas. The engineering team looks for deep technical competence combined with a structured, thoughtful approach to software development.

The Take-Home Challenge

The take-home challenge is the most critical hurdle in the process. It is designed to test your ability to build a functional, well-structured application from scratch using either TypeScript or Python. You will have the option to focus more on the frontend or backend, but you should expect to touch both areas to some degree.

Be ready to go over:

• Code Organization – How you structure directories, modules, and components to ensure the codebase remains maintainable as it scales.
• Asynchronous Operations – Managing API requests, handling race conditions, and ensuring smooth data synchronization.
• State Management – Structuring and updating application state efficiently without introducing unnecessary complexity.
• Advanced concepts – Implementation of custom hooks, complex middleware, optimized database queries, and custom error boundaries.

Example scenarios:

• Building a full-stack dashboard that displays live-updating medical report statuses, complete with filtering and search capabilities.
• Creating a backend service that ingests, processes, and validates structured clinical data payloads from a simulated external system.