Senior Software Engineer, Full Stack - job 1 of 3

As a Senior Software Engineer, Full Stack at Rad AI, you will be responsible for developing large-scale web applications that enhance user workflows and efficiencies. Your duties include creating responsive front-end applications using JavaScript (React/Typescript), developing a robust backend with Python and FastAPI, and collaborating with cross-functional teams to address new feature requirements. Moreover, your role involves writing high-quality, maintainable code in a HIPAA-compliant environment, ensuring the security and performance of our applications.

To be considered for the Senior Software Engineer, Full Stack position at Rad AI, candidates should have a minimum of 5 years of industry experience in full-stack development. In-depth knowledge of modern programming languages such as JavaScript/TypeScript and Python is required, along with familiarity with FastAPI. A strong understanding of relational and document-based databases, web technologies, and web architecture best practices is essential. Experience in a distributed team environment and with performance optimization in large-scale applications is also a plus.

In the Senior Software Engineer, Full Stack position at Rad AI, you will primarily work with JavaScript (React/Typescript) on the front end and Python with FastAPI on the back end. Other technologies may include relational and document databases, and you will also engage with modern web architecture components. Additionally, familiarity with testing frameworks and version control using Git is beneficial to thrive in this role.

At Rad AI, we pride ourselves on fostering a collaborative and inclusive company culture. As a Senior Software Engineer, you’ll be part of a team that values transparency and teamwork, working closely with other engineers and product leaders to innovate in healthcare AI. We encourage open communication and are committed to professional development, ensuring that our engineers continuously learn and grow while contributing meaningful solutions to improve patient care.

At Rad AI, a Senior Software Engineer can expect numerous growth opportunities. You will have the chance to lead initiatives, mentor junior engineers, and contribute to strategic decisions that impact product development. Additionally, Rad AI supports continuous learning through various resources that encourage skill enhancement in AI technologies, software engineering best practices, and industry advancements, ensuring you remain at the forefront of healthcare technology.

When discussing your experience with full-stack development during the interview, focus on specific projects where you utilized both front-end and back-end technologies. Mention tools or frameworks such as React for front-end and any back-end languages like Python or Java. Highlight your role in the project, the challenges you faced, and how you overcame them, demonstrating your problem-solving skills and knowledge in building cohesive applications.

To ensure code quality and security, I follow coding best practices, conduct regular code reviews, and employ tools for static code analysis. I also implement testing frameworks to catch bugs early in the development cycle. In a HIPAA-compliant environment like Rad AI, I place a strong emphasis on security best practices and stay updated on recent vulnerabilities and threats, applying encryption and secure coding guidelines in my projects.

My approach to debugging applications involves a systematic process of isolating and identifying the issue. I typically start by reproducing the bug and then use tools like logging and debugging software to trace the source. I also seek feedback from team members when available, valuing different perspectives. Ultimately, my goal is not just to fix the problem but to understand its root cause and prevent future occurrences.

Prioritizing features or tasks involves understanding user needs and project goals. I generally rely on collaboration with product management and other team members to determine which features offer the highest value to users and align with our strategic objectives. I use tools like Agile methodologies or Kanban boards to visualize progress and adapt priorities as needed, ensuring alignment with project timelines and business goals.

In my previous role, I worked on a cross-functional team comprising designers, product managers, and QA engineers. Our collaboration involved regular sync-ups to discuss progress and challenges. I played a key role in bridging the technical aspects with design and user experience considerations, ensuring that our applications were not only functional but also intuitive and user-friendly. This experience taught me the importance of clear communication and shared goals within diverse teams.

While I have primarily focused on software engineering, I have had exposure to AI technologies through projects where I developed service components for machine learning pipelines. I collaborated with data scientists to understand model implementation and integration into applications. I’m eager to expand my knowledge further in this area, especially since Rad AI emphasizes AI-driven solutions in radiology.

Handling tight deadlines involves careful planning and adaptability. I prioritize tasks based on urgency and impact while remaining flexible to adjust as project needs evolve. Clear communication with team members helps ensure everyone is aligned, and I make it a point to break down larger tasks into smaller, manageable chunks to track progress easily. This method helps me maintain productivity without compromising quality amidst tight timelines.

One challenging project involved migrating a legacy application to a modern stack while ensuring minimal downtime. I began by thoroughly analyzing the existing application's architecture and created a detailed migration plan that included contingency strategies. Collaborating closely with my team, we tackled unexpected integration issues by conducting thorough testing and adjusting our approach as needed. This experience taught me the value of proactive planning and solid teamwork.

I stay current with industry trends by following tech blogs, attending webinars, and participating in local meetups where professionals share their insights. Additionally, I engage with online communities and forums related to software engineering and AI. Continuous learning is critical, and I dedicate time each week to explore new technologies, frameworks, and best practices that can enhance my work as a Senior Software Engineer.

Working with Rad AI excites me because of the company’s commitment to transforming healthcare through innovative AI solutions. I’m passionate about contributing to meaningful projects that drive real impact on patient care. The collaborative culture and focus on cutting-edge technologies align with my professional values, making it an ideal environment to grow and work with like-minded individuals dedicated to making a difference.