Founding Applied AI Engineer

The Founding Applied AI Engineer position in San Francisco involves developing cutting-edge AI products with end-to-end fullstack development responsibilities. Candidates are expected to have experience in building production applications and a keen ability to engage with users for feedback.

To succeed in the Founding Applied AI Engineer role, candidates should have hands-on experience with AI technology, particularly in the application layer. Familiarity with TypeScript, NextJS, and RAG systems is highly desirable, along with a fast-paced, adaptable mindset.

Working as a Founding Applied AI Engineer means being part of an innovative team in a dynamic environment. You'll be working six days a week in San Francisco, closely collaborating with colleagues to build and iterate on AI products.

Engaging with users to gather feedback is a key responsibility for the Founding Applied AI Engineer. You will directly interact with users to understand their needs and incorporate their insights into the product development process.

The Founding Applied AI Engineer will be involved in a variety of projects, focusing on AI product development from scratch, ensuring the integration of user feedback, and creating scalable solutions that address real-world problems.

Adaptability is crucial for the Founding Applied AI Engineer role. Working with innovative technologies requires quick learning and fast-paced development, making the ability to pivot and evolve essential for success.

Currently, the Founding Applied AI Engineer position requires in-person work in Palo Alto six days a week, as collaboration is a significant part of the development process in the company's environment.

In answering this question, emphasize specific projects where you've managed the entire process from concept to deployment. Discuss technologies used, any challenges faced, and how you ensured quality throughout the development cycle.

Explain your approach to user research, how you analyze feedback, and the tools you use to incorporate changes into your products. Providing examples of past experiences can demonstrate your skills effectively.

When answering, highlight your familiarity with specifying both functional and non-functional requirements. Discuss how you ensure alignment with business goals while meeting user needs through robust technical specifications.

Choose a project where you faced significant obstacles. Detail the problem, your creative solution, and the positive outcomes that resulted. This showcases your problem-solving skills and resilience.

List the languages and frameworks you are skilled in, such as TypeScript and NextJS. Explain how you've used them in past projects and your comfort level in adopting new technologies as needed.

Emphasize your methods for assessing urgency, impact, and aligning your tasks with team goals. Share specific strategies you use to stay organized and efficient even under tight deadlines.

Detail the resources you use to stay informed—like journals, online courses, or networking. Show your passion for continuous learning and how it reflects on your work in AI development.

Highlight your understanding of Retrieval-Augmented Generation systems, explaining their function and relevance in enhancing AI applications. If applicable, relate it to your experience in previous projects.

Discuss various metrics you consider, such as user engagement, retention rates, and performance benchmarks. Emphasize the importance of continuous monitoring and iterative development.

Provide a thoughtful response that aligns your career aspirations with the company’s mission. Mention specific reasons, such as their innovative approach or your interest in the projects they are undertaking, to demonstrate genuine enthusiasm.