Okay, I've searched for full-time Software Engineer roles in San Francisco, CA, focusing on AI or voice technologies, requiring 5+ years of experience with Python and asynchronous programming skills. I have found 142 positions for you.

Sure. Here's the analysis:

Job Analysis:

This Software Engineer role on Decagon's Voice team is fundamentally about architecting and delivering highly scalable, low-latency systems that enable advanced conversational AI agents to power millions of voice interactions annually. The core focus is on building infrastructure that integrates and orchestrates speech-to-text, text-to-speech, and other multimodal AI models efficiently and reliably, ensuring the AI's human-like empathy and problem-solving abilities can function at scale. Because the system operates under extreme performance constraints, this role demands deep technical expertise in asynchronous programming and systems engineering, along with strong proficiency in Python and Typescript. The engineer will need to proactively prevent and diagnose intermittent problems by building automation and monitoring tools, implying a hands-on, ownership-driven mentality where troubleshooting complex failures across layers is routine. Success here means enabling seamless, magical customer support experiences through resilient, intelligent voice AI infrastructure that can handle hundreds of millions of calls without degradation. The role expects a high level of autonomy, technical depth, and a strategic approach to emerging AI integrations, balancing rapid iteration with production-grade robustness.

Company Analysis:

Decagon is a fast-growing, well-funded AI startup positioning itself as the leader in conversational AI for enterprise customer support. Trusted by top-tier customers like Duolingo and Notion, the company operates in a highly innovative space at the intersection of AI research and real-world application. This environment suggests a culture that values cutting-edge technology, rapid problem-solving, and customer-centric design. The company’s strong backing from prominent investors and founders signals ambitious growth goals and a focus on scalable technical excellence. For a candidate, Decagon offers a chance to work on impactful, highly visible products that redefine customer support experiences. The team dynamic appears collaborative yet demanding, with engineers owning projects end-to-end and expected to dive deep into complex system challenges. Being part of the Voice team means not only developing sophisticated AI infrastructure but also contributing to a mission-driven culture oriented around empathy and intelligent automation. The role likely involves close cross-functional coordination with product and AI research teams and offers significant exposure to leadership and strategic priorities as the company scales.

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

• Tell me about a time when you had to debug a complex system failure under tight performance constraints. How did you approach the problem and what was the outcome?
• Describe an experience where you developed or worked with asynchronous systems. How did you handle concurrency and ensure system reliability?
• Can you share an example of when you had to own a project end-to-end? How did you ensure quality and timely delivery?
• How do you stay current with advances in speech-to-text, text-to-speech, or multimodal AI models, and how have you applied new models or techniques in your past work?
• Explain your approach to architecting a system that must handle hundreds of millions of voice calls annually with very low latency. What are the key technical considerations?
• How would you build automation to monitor and detect intermittent issues across a large voice interaction system? What tools or methods would you use?
• Given the challenge of integrating multiple AI models (audio and text), how would you design a system to orchestrate asynchronous interactions among them efficiently?
• Imagine you detect a subtle, intermittent failure in the voice agent system during peak usage. Walk me through how you would triage, diagnose, and resolve this problem.
• If tasked with improving latency in a heavily loaded AI voice infrastructure, what strategies would you consider and why?
• What interests you most about working on AI-powered voice agents, and why do you want to be part of Decagon specifically?
• How do your professional values align with Decagon’s mission to deliver magical support experiences powered by empathetic AI?
• What motivates you in a fast-paced startup environment where engineers are expected to be proactive problem solvers with significant ownership?
• Having reviewed the role and our company, what challenges do you anticipate in this position and how would you prepare to address them?
• What questions do you have about Decagon’s technology stack, team dynamics, or growth plans that would help you succeed here?
• Could you describe how the Voice team collaborates with AI research and product teams to ensure aligned priorities and smooth delivery?