Senior Platform Engineer, Voice Ai

Together AI

San Francisco, CA, United States
Base: $200,000 - $260,000; bonus/equity: equity in...
On-site
Real-time streaming infrastructure
Websocket and http streaming apis
Autoscaling for latency-sensitive workloads
Together AI is building the best inference infrastructure for voice applications with a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models

Job Summary

  • Together AI is building the best inference infrastructure for voice applications with a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models.
  • The Senior Platform Engineer will own the real-time API and infrastructure layer for voice workloads, designing autoscaling and ensuring reliability for production voice agents handling millions of calls.
  • The company offers competitive compensation, startup equity, health insurance, and other benefits, and values equal employment opportunity regardless of diverse backgrounds.

Matching Summary

Together AI is building the best inference infrastructure for voice applications with a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models.

Salary

Base: $200,000 - $260,000; Bonus/Equity: equity included; Benefits: health insurance and competitive benefits

Skills & Requirements

Must-have

  • real-time streaming infrastructure
  • WebSocket and HTTP streaming APIs
  • autoscaling for latency-sensitive workloads
  • Kubernetes resource management
  • TypeScript and Python programming
  • distributed systems fundamentals

Nice-to-have

  • Rust programming experience
  • audio and media protocols knowledge
  • full-stack development with React and Next.js
  • ML model serving infrastructure familiarity
  • strong product sense
  • experience in early-stage startup environment

Key Requirements

  • 5+ years building large-scale real-time distributed systems
  • expertise in WebSocket server architecture and stateful protocol design
  • experience with Kubernetes custom autoscalers
  • Bachelor's or Master's degree in Computer Science or related field or equivalent experience

Work Rights

Not specified

Tailored Resume

Cover Letter