AI Software Engineer - Evaluation Platform

As an AI Software Engineer at Perplexity, your responsibilities will include building a full-stack platform for debugging LLM outputs, designing intuitive front-end interfaces, and collaborating closely with researchers and engineers to align tools with their needs. Additionally, you will be responsible for improving existing tools and developing new features in response to evolving requirements within the AI domain.

To qualify for the AI Software Engineer position at Perplexity, candidates should have a strong background in full-stack software development with at least 3 years of industry experience. A good quantitative understanding of data and visualization, along with strong communication skills and the ability to work in teams, are essential. Experience with generative AI tools or LLMs is a bonus.

The tech stack for the AI Software Engineer role at Perplexity includes NextJS, TypeScript, Python, Postgres, Docker, and AWS. Familiarity with these technologies is crucial for building our revolutionary evaluation platform.

The salary range for the AI Software Engineer position at Perplexity is between $200,000 and $270,000, with final amounts determined by experience and expertise. Comprehensive health, dental, and vision insurance, along with 401(k) plans and equity options, are included in the total compensation package.

Perplexity fosters a culture of growth and learning, providing opportunities for AI Software Engineers to work on innovative projects and collaborate with top-tier talent. Continuous improvement of tools and skill enhancement are encouraged as the company evolves and expands its tech capabilities.

In responding to this question, highlight your relevant projects, technologies you’ve worked with, and specific challenges you overcame in previous roles. Mention how those experiences prepare you for the responsibilities at Perplexity.

Discuss your problem-solving strategies and the methodologies you would employ to design and develop efficient debugging features. Include aspects like user input, data flow, and performance monitoring in your answer to showcase your expertise.

Provide a concrete example of a project where teamwork was essential. Highlight your communication skills and ability to adapt tech solutions based on user feedback, showing your collaborative spirit in the context of the AI Software Engineer role.

Explain your understanding of user-centric design principles, emphasizing the importance of simplicity, responsiveness, and usability. Offer previous experiences where your design choices positively impacted user engagement.

Detail your approach to task management, emphasizing tools and techniques (like Agile methodologies) you use to prioritize effectively. Discuss how you balance deadlines with quality output.

Share specific projects where you've utilized AWS and Docker, discussing how their features contributed to the scalability and maintainability of applications you developed, tailored towards the needs of an AI environment.

Mention resources such as blogs, conferences, online courses, or communities you engage with to stay informed. Share how you integrate this knowledge into your work and decision-making process.

Choose an example that demonstrates your problem-solving skills and technical expertise. Discuss the problem, the steps you took to resolve it, and the impact of your solution.

Explain your understanding of data visualization principles. Highlight how visualizing complex data can enhance comprehension, decision-making, and the overall performance of AI systems.

Express your enthusiasm for Perplexity’s mission and growth trajectory. Discuss how your values align with the company's goals, and how you see yourself contributing to the team’s success.