Responsibilities
- Design, develop, and scale backend infrastructure and client-facing features for an LLM-based coaching product.
- Lead end-to-end feature delivery, from API design and model integration to polished browser interfaces.
- Partner closely with product, design, and infrastructure teams to align technical solutions with business goals.
- Contribute across the full stack, including backend services, AI integration, and frontend development.
- Ensure systems are built for scalability, high performance, and security in enterprise settings.
- Troubleshoot issues across the entire stack, including model behavior, backend services, UI logic, and client-side performance.
- Work with cross-functional teams to create reliable and engaging user experiences.
- Help shape engineering culture, tools, hiring practices, and long-term technical strategy as the team expands.
- Develop and maintain critical backend systems, including API architecture, LLM integrations, and server optimization.
- Create intuitive and accessible frontend interfaces, ensuring seamless data flow between client and server.
- Own the full development lifecycle: requirement scoping, testing, deployment, monitoring, and production observability.
- Engage deeply with product, design, data, and infrastructure teams to solve user problems and speed up delivery.
- Promote engineering excellence through standards development, CI/CD automation, observability, and performance testing.
- Support team growth through code reviews, technical mentorship, and establishing scalable development practices.
Compensation
Competitive base salary with performance-based bonuses. Full health benefits (medical, dental, vision) available immediately. Generous paid time off, company-wide rest periods, and paid parental leave. Retirement plan contributions for U.S. and international employees
Work Arrangement
Hybrid — New York, Toronto
What You'll Get
- Immediate ownership of high-impact projects with direct influence on company trajectory
- Close collaboration with executive leadership and visibility into strategic decisions
- Real-time impact on product direction through customer feedback and market data
- Hands-on work with cutting-edge AI models and next-generation platforms
- Opportunity to build deep expertise in enterprise AI across Fortune 500 clients and industries
- Leadership role in defining how AI transforms work globally
Not specified
