Staff Software Engineer, AI Products

As a Staff Software Engineer, AI Products at Rad AI, you will be primarily tasked with developing advanced AI-powered solutions that enhance healthcare delivery. This includes collaborating closely with ML Engineers, Research Scientists, and Product Software Engineers to ensure the seamless integration of AI into our applications. You'll also be responsible for implementing tools to monitor model performance, writing high-quality, maintainable code, and working within a cross-functional team. Expect to engage in meaningful discussions on how to push the technological envelope in the healthcare space!

To qualify for the Staff Software Engineer, AI Products role at Rad AI, candidates should possess a minimum of 6 years of full-stack engineering experience, showcasing proficiency in JavaScript, TypeScript, Python, and modern frameworks like FastAPI. The role also requires a background in large-scale data storage paradigms, responsive web technologies, and strong version control skills using git. Familiarity with machine learning products and HIPAA compliance is highly desirable and makes a candidate stand out.

The technology stack at Rad AI includes a modern JavaScript frontend using React and TypeScript, coupled with a FastAPI Python backend. We utilize a RESTful service architecture and employ various modern data pipeline tools to facilitate the robustness of our AI product suite. As you step into this role, you'll be excited to work across this technologically rich environment, innovating to build healthcare solutions.

At Rad AI, the culture is mission-driven, emphasizing transparency, inclusion, and collaboration. The team thrives on a creative atmosphere where ideas can flow freely and where diverse voices contribute to innovation. As a Staff Software Engineer, AI Products, you will enjoy a flexible, remote-first work environment that encourages work-life balance while being part of a dedicated team focused on advancing AI technologies in healthcare.

As a Staff Software Engineer, AI Products at Rad AI, you will have abundant opportunities for growth. The fast-paced nature of the startup alongside the prominence of AI in healthcare creates a fertile ground for learning and advancement. You will be encouraged to continuously innovate and play pivotal roles in high-impact projects, paving the way for potential leadership positions and the opportunity to influence the tech direction of the company.

To effectively answer this question, outline your experiences across both frontend and backend technologies, emphasizing any specific projects that required integration of AI functionalities. Highlight your familiarity with JavaScript, TypeScript, and Python, as well as any relevant libraries or frameworks. Conclude by relating your past work to Rad AI's mission, showing enthusiasm for leveraging your skills to improve healthcare technology.

When asked about collaboration, discuss specific experiences where you had to work with diverse teams, such as designers and product managers. Explain how you ensure clear communication and involve stakeholders early in the development process. Emphasize your ability to bridge technical and non-technical discussions for successful project outcomes.

In response to this question, outline your strategies for maintaining code quality, such as adhering to coding standards, using linters, and conducting code reviews. Explain the importance of unit and integration testing and how these practices help in deploying robust AI solutions, which aligns perfectly with Rad AI's standards.

For this question, choose a relevant project that showcases your engineering capabilities, particularly in developing and deploying AI solutions. Share your role, the challenges you faced, and how you addressed them, focusing on your technical contributions and any collaboration with cross-functional teams. Draw connections to how these experiences will benefit your role at Rad AI.

Discuss your methods for staying updated, such as following industry blogs, attending conferences, or participating in online communities. It's also effective to mention any relevant courses or certifications you've pursued. Show your proactive mindset towards learning and how it fuels your passion for innovation in AI, which is vital for a role at Rad AI.

Share your understanding of HIPAA compliance and how it applies to software applications in healthcare. Provide examples of how you've incorporated security and privacy measures into your past projects. Highlight your attention to detail and commitment to creating trusted applications, key attributes for a Staff Software Engineer at Rad AI.

Discuss specific instances where you designed or implemented data pipelines, focusing on the technologies used and the outcomes achieved. Highlight your understanding of data modeling, storage paradigms, and monitoring performance of data processes. This answer should reflect your proficiency and relevance to the work at Rad AI.

When addressing this question, convey a positive attitude towards feedback, illustrating your willingness to learn and improve. Discuss scenarios where you've received constructive criticism, how you incorporated the feedback into your work, and the resultant improvement in project outputs or processes. This demonstrates a growth mindset that aligns with Rad AI's collaborative culture.

While your answer should advocate for git as a preferred tool, go into detail about the advantages, such as its branching capabilities and collaboration features. If applicable, provide examples where you've successfully employed git in past projects, which exhibits your technical proficiency crucial for working effectively at Rad AI.

This is your chance to express genuine enthusiasm! Discuss your excitement about contributing to AI solutions in healthcare, the impact Rad AI has on improving patient care, and your eagerness to work within a mission-driven organization. Our focus on collaboration and innovation should also be highlighted to showcase your alignment with Rad AI's values.