Okay, I've searched for AI/LLM Engineer roles in San Diego within the defense tech or software development sectors, requiring at least 5 years of experience, with a focus on backend development and LLM APIs. I found 45 positions for you to review.

Sure. Here's the analysis:

Job Analysis:

The role of Founding AI/LLM Engineer at Ironflow AI centers around revolutionizing how operations are supported within the defense manufacturing sector through AI-native ERP systems. The primary responsibility is to architect the AI and LLM orchestration layer that enables complex interactions such as multi-agent coordination and real-time decision-making. This role is fundamentally about enabling the system to 'think' and 'act' alongside users, impacting operational efficiency and intelligence directly. Candidates will likely face challenges related to integrating advanced technologies with existing workflows while ensuring safety and performance standards. Success in this role will be measured by the candidate's ability to deliver robust, scalable prototypes that evolve into full-fledged production systems, demonstrating both technical prowess and a deep understanding of user needs in a defense context. Additionally, effective cross-functional collaboration will be essential, aligning AI functionalities with user experience and backend capabilities to create seamless operational workflows.

Company Analysis:

Ironflow AI operates at the intersection of defense technology and advanced AI, positioning itself as a frontrunner in developing AI-native enterprise solutions for a traditionally complex industry. This company is not merely an innovator but a disruptor; they are rewriting the rulebook for how software can enhance operational efficiency, moving away from outdated ERP models and toward a streamlined, intelligent system that augments human capability. The culture appears to embrace rapid innovation, with a strong emphasis on decision-making autonomy and an entrepreneurial spirit. Employees are expected to thrive in a dynamic environment, tackling ambiguous challenges head-on. This role will likely provide strong visibility within the organization, especially as it pioneers new solutions that could redefine operational practices in defense manufacturing. The strategic alignment of this position with the company's growth trajectory suggests that the successful candidate will be integral to shaping the future of Ironflow AI's product offerings and overall market impact.

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

• Tell me about a time when you had to develop a complex system from scratch. What challenges did you face and how did you overcome them?
• Describe a project where you successfully integrated multiple technologies to solve a problem. What was your approach?
• Discuss an instance where you had to navigate ambiguity in a project. How did you ensure clarity and direction?
• Explain your experience with LLM APIs. How have you utilized them in previous projects to achieve specific outcomes?
• How would you design an orchestrated workflow system that integrates multiple agents? What key considerations would you keep in mind?
• Can you walk us through your process for prototyping a new feature? How do you evaluate its performance and safety?
• Imagine you’re tasked with building a chat-driven interface that must respond to real-time user queries in a flexible way. What steps would you take?
• What would you do if you encountered a significant technical hurdle while developing a new feature? How would you approach finding a resolution?
• Why are you interested in working at Ironflow AI specifically, especially considering the company's focus on defense technology?
• How do you see your values aligning with Ironflow AI's mission to empower teams through AI innovation?
• What excites you most about the potential for AI in defense manufacturing, and how do you envision contributing to that change?
• What do you believe defines an AI-native ERP system, and what unique challenges does this present?
• How do you prioritize tasks when working on multiple aspects of a project, and what tools or methodologies do you use to stay organized?
• What types of feedback do you find most valuable during collaborative projects, and how do you implement it into your work?