Nationwide, the average emergency communications center (ECC) is 30% understaffed. Staffing shortages have lead to call-taker burnout and attrition, which is exacerbating the problem even more. Post COVID, wait times for 9-1-1 calls have reached a boiling point. 60-80% of the calls 9-1-1 operators take aren’t even emergencies. They’re administrative calls that have been punted to ECCs: noise complaints, lost dogs, paying parking tickets, etc. Aurelian automates non-emergency calls for 9-1-1 centers through an AI-powered operator that routes, triages, and resolves calls without the need for human intervention.
Requirements
- Experience with Python - knowledge of async patterns is a plus
- Familiarity modeling complex data and building scalable systems
Responsibilities
- Scaling our systems and infrastructure to handle millions of voice interactions
- Leveraging AI agents to streamline integration with legacy systems
- Making voice AI interactions as natural as human conversation
- Developing intuitive user experiences for human in the loop workflows
Other
- 5+ years of professional experience in software engineering
- A strong sense of ownership - you should care deeply about your work and what we deliver to customers
- A track record shipping - you should know what it takes to rapidly ship production ready features
- Communication skills - you should be able to effectively communicate and collaborate with non-technical teammates and customers
- eager to make technology that matters and want to shape the future of emergency communications
