Got it! I’m looking for Founding Engineer positions that focus on open-source development in New York City with full-time availability and compensation between $200K and$300K. I found 12 positions that match your criteria. You can review them now.

Sure. Here's the analysis:

Job Analysis:

The Founding Engineer role is fundamentally designed to spearhead the development of large language model (LLM) infrastructure, directly contributing to the user experience while leveraging cutting-edge machine learning and open-source technologies. The responsibilities entail a blend of strategic foresight and hands-on engineering, including building LLM observability tools and optimizing workflows. This dual focus highlights the expectation for not only technical proficiency but also product-oriented thinking. The candidate must be adept at navigating project complexities and providing user-facing features that resonate with end-users. Concurrently, the role requires collaboration with diverse specialists, indicating that strong communication and teamwork are essential. Success in this position will likely manifest through significant improvements in product performance and user satisfaction, along with the establishment of effective engineering practices within a dynamic startup environment, particularly in its formative stages. Challenges may include reconciliating rapid development cycles with the quality expectations inherent in open-source contributions.

Company Analysis:

Stott and May operates in the recruitment industry, positioning itself as an agile and quality-focused talent solution provider. The company's unique approach—combining the speed of contingent recruitment with high-value, executive search methodologies—speaks to its commitment to innovation and partnership with growing companies, especially in tech sectors. This philosophy of creating personal, collaborative campaigns aligns with the needs of rapidly evolving sectors like machine learning and AI, where talent scarcity and competition are prevalent. The culture likely encourages innovation, flexibility, and a strong sense of community, reflecting in their emphasis on building specialized talent networks. For the Founding Engineer role, this translates to an opportunity for significant visibility within the 130-employee organization, allowing for influential input on product direction and the overall engineering culture. Moreover, given that the company is experiencing growth and focusing on open-source contributions, this role represents a strategic hire meant to shape future operational capabilities and to establish a product that stands out in the LLM marketplace.

Absolutely. Here are some mock interview questions that could come up:

• Can you describe a time when you led a complex project? What challenges did you face, and how did you overcome them?
• Tell me about a project where you had to work closely with engineers from different disciplines. How did you ensure effective collaboration?
• What has been your experience with open-source projects? Can you share an example of your contributions?
• Discuss a situation where you had to make decisions with limited information. How did you approach it?
• How would you go about optimizing an LLM workflow? What tools and methods would you use?
• Explain how you would design an API for LLM functionalities. What considerations would you keep in mind?
• Describe the steps you would take to enhance the user experience for a particular feature in an ML product.
• Imagine you are asked to improve a poorly performing feature within the product. How would you assess the situation and decide on the next steps?
• Why are you interested in working specifically at Stott and May, and how do you see your role impacting the company’s mission?
• What excites you about contributing to open-source LLM infrastructure, and how does it align with your career goals?
• What values do you hold that align with our company culture, and how do you see them playing out in your day-to-day work?
• Given the current landscape of AI and ML, how do you perceive the future of LLMs and their infrastructure?
• What questions do you have for us about the team dynamics or project priorities in this role?
• How do you keep up with the latest advancements in machine learning, and how would you apply that knowledge to this position?