- Salary
- $200k – $300k
- Workplace
- Remote, Onsite
- Type
- Full-time
- Department
- Engineering
- Seniority
- Senior
- Experience
- 6+ years
- Visa
- Not sponsored
- Source
- RecruiterFlow
Description
Senior Software Engineer
Location: San Francisco, CA or New York, NY
Company Stage of Funding: Seed-Stage AI Infrastructure Startup
Office Type: Onsite (5 Days Per Week)
Salary: $200,000–$300,000 + Equity
Company Description
We're representing a rapidly growing AI startup building next-generation voice automation infrastructure for enterprise customers. Their platform combines proprietary speech models, real-time voice systems, and custom orchestration technology to deliver AI-powered voice and messaging experiences at scale.
The company has achieved strong early enterprise traction, serving customers with large annual contract values while building entirely in-house AI and infrastructure systems. With significant funding secured and aggressive growth plans ahead, they are expanding their engineering team to help scale both the platform and the business.
What You Will Do
- Own major product and infrastructure initiatives across real-time voice systems, customer-facing applications, analytics platforms, and backend services.
- Design, build, and scale highly available distributed systems that support large-scale real-time communications workloads.
- Develop and maintain full-stack product experiences, including customer dashboards, operational tooling, and self-service capabilities.
- Build new AI-powered product features and automation workflows that directly impact enterprise customer adoption and revenue growth.
- Architect systems for performance, reliability, and scalability as platform usage expands significantly.
- Work directly with customers to understand product requirements and translate feedback into technical solutions.
- Own projects end-to-end, from scoping and design through implementation, deployment, and iteration.
- Partner closely with leadership to influence product direction, technical strategy, and engineering best practices.
- Mentor engineers and contribute to building a strong engineering culture as the team grows.
Ideal Background
- 6+ years of professional software engineering experience.
- Strong experience building and operating production-grade software systems at scale.
- Proven success working in both startup environments and larger engineering organizations.
- Expertise in Python and modern backend development practices.
- Experience with TypeScript and full-stack development, or deep backend/distributed systems expertise.
- Strong system design and architecture skills with experience scaling high-volume applications.
- Demonstrated ownership of large technical initiatives from conception through production.
- Excellent communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences.
- Strong mentorship experience and interest in helping build engineering teams.
Preferred
- Experience with GraphQL, React, and modern web application architectures.
- Background in voice AI, conversational AI, speech systems, communications platforms, or real-time infrastructure.
- Experience scaling distributed systems with demanding latency and reliability requirements.
- Previous founding engineer, early engineer, or startup leadership experience.
- Experience building customer-facing enterprise software products.
- Strong understanding of observability, infrastructure, and operational excellence.
- Computer Science or STEM degree from a highly regarded university.
Compensation and Benefits
- Base salary: $200,000–$300,000.
- Competitive equity package.
- Opportunity to join a high-growth AI company at an early stage of scale.
- Direct ownership of product lines with measurable business impact.
- Clear path toward technical leadership and people management opportunities.
- Work alongside a small, highly technical team building proprietary AI infrastructure.
- Flexible remote consideration for exceptional senior candidates, though onsite collaboration is strongly preferred.
- Visa support available for select transfer-friendly visa categories.
- Opportunity to shape both product direction and engineering culture during a critical growth phase.