Full-Stack Engineer

As a Full-Stack Engineer at Norm Ai, your key responsibilities include enhancing our client-facing enterprise products, supporting legal engineering tools, ensuring system reliability, and implementing innovative solutions that cater to emerging use cases in AI. Your work will directly contribute to how our customers interact with our cutting-edge compliance AI platform.

To succeed as a Full-Stack Engineer at Norm Ai, candidates should possess a Bachelor's or Master's degree in computer science or a related field. Additionally, you will need at least two years of experience in Python or TypeScript for production use, familiarity with Postgres databases, and experience in writing APIs using frameworks like FastAPI. Ideally, you should also have an interest in AI-driven products.

In your first 30 days as a Full-Stack Engineer with Norm Ai, you will rapidly acclimate to our technology stack and the regulatory landscape. You’ll establish collaborative relationships within the team, aiming to understand the balance between fostering innovation and adhering to compliance standards. Initial contributions to our systems are expected as you familiarize yourself with our unique approach.

The Full-Stack Engineer position at Norm Ai offers a competitive salary range of $150,000 to $225,000, along with employee equity and comprehensive benefits. The specific salary will depend on various factors, such as your skills, experience, and educational background.

In addition to a competitive salary, Full-Stack Engineers at Norm Ai enjoy a comprehensive benefits package that includes top-tier health, dental, and vision insurance, a 401(k) plan with the maximum match allowed, relocation reimbursement to NYC, and the opportunity to work in a fast-paced learning environment.

When responding to this question, focus on specific projects where you've used Python and TypeScript. Mention the context, your role, any challenges you faced, and how you overcame them, illustrating your problem-solving skills and technical expertise.

Describe your methodology for identifying and solving scaling problems. You might mention monitoring system performance, optimizing database queries, and implementing load balancing. Providing examples from past experiences will showcase your practical knowledge.

Talk about the importance of testing, deployment strategies, and monitoring after release. You might also mention using agile methodologies to adapt quickly to user feedback and improve stability.

Discuss your approach to gathering customer feedback through surveys or direct calls and how you integrate that feedback into your development cycle. Provide examples of how you've iterated on a product based on user feedback.

Share details about a specific project, highlighting your roles and contributions. Emphasize how Agile methodologies facilitated collaboration and adaptability, leading to project success.

Explain your approach to open communication, understanding different perspectives, and seeking a constructive resolution. Mention how you would prioritize team cohesion and project goals over individual egos.

Discuss any projects where you developed or integrated APIs, emphasizing your knowledge of FastAPI. Mention specific endpoints you created, challenges faced, and how they enhanced the functionality of your applications.

Articulate your interest in Norm Ai's mission in the compliance sector and how your skills align with their needs in developing innovative AI-driven solutions. This shows your commitment to their vision.

Discuss your thoughts on emerging AI trends relevant to compliance, like automation or improved data analytics. Your insights demonstrate your ability to think strategically about the industry.

Share your methods for continuous learning, whether through online courses, attending conferences, or participating in developer communities. This reflects your commitment to professional growth.