Software Engineer, Product (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Software Engineer, Product (AI): Design and implement full-stack features blending elegant UX with robust backend systems for a legal AI platform with an accent on scalable architecture and cloud-native solutions. Focus on architecting infrastructure, optimizing performance, and ensuring reliability for high-stakes legal workflows.
Location: Must be based in the United States or Canada. Remote role, hybrid (in-office Mondays, Wednesdays, Fridays) if within ~50 miles of San Mateo, CA or Provo, UT offices.
Salary: $165,000 – $350,000
Company
Fastest-growing legal AI platform for in-house legal teams used by 1,300+ companies including unicorns and public firms, with $60M Series B funding.
What you will do
- Design and implement full-stack features across React, TypeScript, Node.js.
- Architect scalable backend systems and cloud-native solutions on GCP.
- Shape technical direction through architecture decisions and infrastructure improvements.
- Mentor engineers via code reviews and knowledge sharing.
- Own end-to-end mission-critical features from API to UI used by lawyers daily.
- Turn customer feedback into specs, ship quickly, and enhance reliability with observability and testing.
Requirements
- 3+ years building production-grade web applications
- Strong expertise in modern JavaScript/TypeScript and React, including frontend architecture
- Experience with cloud platforms (GCP)
- Track record designing scalable backend systems and proven architectural decisions
- Based in US or Canada
Nice to have
- Modern ORMs (Drizzle/Prisma), API design, DevOps
- Building secure, compliant systems
- AI/LLM integrations, mentoring, legal tech or B2B SaaS experience
Culture & Benefits
- Competitive salary, equity, healthcare
- High-energy team with ownership, urgency, and six principles: 1% better daily, customer obsession, ship today, etc.
- Hybrid/remote-friendly, direct founding team collaboration, growth opportunities
- Mentorship, exposure to cutting-edge tech, influence on strategy
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