12 часов назад
Staff Software Engineer, Product (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Software Engineer, Product (AI): Architecting and building full-stack features for an LLM-driven enterprise coaching platform with an accent on resilient APIs, model integration, and polished browser interfaces. Focus on scaling secure enterprise systems, debugging across the stack, and driving end-to-end delivery, observability, and engineering best practices.
Location: Remote or hybrid from offices in New York or Toronto; valid travel documents without work authorization restrictions in the US required. Collaboration with colleagues in UK time zones is required.
Company
develops an AI-native coaching platform that provides personalized leadership and employee guidance for enterprise customers.
What you will do
- Architect, build, and optimize full-stack product features across backend services, AI model integrations, and frontend interfaces.
- Design resilient APIs and server-side systems for enterprise-scale performance, security, and reliability.
- Build responsive, accessible, and high-performance user experiences with effective frontend-backend data flows.
- Own delivery from requirements scoping and testing through deployment, monitoring, and production observability.
- Collaborate with product, design, data, operations, and infrastructure teams to solve user problems.
- Shape engineering standards, CI/CD automation, performance benchmarking, hiring, and technical direction while mentoring engineers.
Requirements
- Strong experience shipping production-grade full-stack systems and owning APIs and user experiences end to end.
- Deep proficiency with Python, preferably Django, or a comparable backend language.
- Strong JavaScript skills and familiarity with modern frontend frameworks such as React or Vue.
- Experience building responsive, usable, accessible, and high-performance interfaces.
- Ability to design for scale, performance, security, maintainability, and distributed enterprise environments.
- Valid travel documents and no US work authorization restrictions required; comfort collaborating across UK time zones.
Nice to have
- Experience with enterprise AI implementations, LLMs, machine learning, or natural language processing.
- Experience in startup environments and rapidly prototyping and iterating on products.
Culture & Benefits
- Full-time role with substantial ownership of company-defining projects.
- Direct collaboration with the executive team and visibility into strategy and decision-making.
- Medical, dental, and vision coverage from the first day.
- Generous paid time off, company-wide rest and recovery shutdowns, and paid parental leave.
- Retirement plan support for US and global employees.
- Meaningful equity in a venture-backed company, with potential top-up grants based on performance.
Hiring process
- Employment, education, identity, and reference information may be verified.
- Offers are contingent on successful completion of verification checks.
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