Staff Engineer - AI (Remote)

As a Staff Engineer - AI at Pair Team, you will be responsible for the end-to-end development of critical AI-powered features that enhance patient outcomes and operational efficiency. This includes leading rapid prototyping efforts, applying modern AI techniques, and building robust evaluation pipelines to ensure the trust and safety of AI applications in healthcare.

To qualify for the Staff Engineer - AI position at Pair Team, candidates should have at least 5 years of experience in a fast-paced startup environment, a deep familiarity with modern AI tools and frameworks, and proven technical leadership ability in delivering AI-driven features. Additionally, being comfortable working across the tech stack and having experience with frameworks like Ruby on Rails can be advantageous.

The Staff Engineer - AI at Pair Team plays a pivotal role in directly impacting patient care by creating and optimizing AI-powered technologies that streamline healthcare processes, thereby making access to care easier and improving outcomes. Your work will contribute to innovative solutions that support vulnerable populations navigating complex health issues.

Projects for the Staff Engineer - AI at Pair Team will revolve around rapidly prototyping AI features that enhance care delivery. This includes integrating large language models, designing workflows for intelligent routing, and ensuring that every feature released improves user experience while adhering to safety standards.

The work culture for a Staff Engineer - AI at Pair Team is collaborative and mission-driven, where innovation and integrity are highly valued. The team is committed to supporting one another through challenges and celebrates diverse perspectives, creating an inclusive environment where everyone's contributions are recognized and appreciated.

When answering this, highlight specific projects where you've utilized AI tools like OpenAI or similar frameworks. Explain how you approached these projects, focusing on your problem-solving skills and creativity in delivering AI solutions.

Discuss your preferred methodologies for rapid prototyping, such as Agile or Lean. Provide examples of how you have successfully developed and tested AI features quickly while still maintaining high-quality standards.

Share your strategies for developing robust evaluation pipelines, including how you test and monitor AI systems in real-world scenarios to ensure they perform safely and effectively for patient care.

Choose a project where successful collaboration was essential. Explain your role in aligning different teams and ensuring clear communication to complete the project efficiently while addressing diverse stakeholder needs.

Emphasize your approach to managing trade-offs between rapid development and maintaining high quality. Discuss tools and practices you use to achieve this balance and how it has benefited your past projects.

Illustrate your mentoring style, including how you provide guidance on best practices in AI development. Mention any formal or informal mentorship experiences you've had and how you helped others grow their skills and confidence.

Explain your methods for staying informed about current AI trends, such as attending conferences, participating in online forums, or following thought leaders in the industry. Share how you incorporate new findings into your work.

Discuss essential qualities like leadership, a collaborative spirit, and a passion for healthcare technology. Highlight examples that demonstrate how you've exemplified these traits in your previous roles.

Provide a specific example where you encountered uncertainty. Describe your problem-solving approach in finding clarity and aligning your team's efforts to move forward effectively.

Discuss your familiarity with Ruby on Rails, including specific projects where you've utilized it. If you don't have direct experience, relate it to similar technologies and how you quickly adapt to new frameworks.