Real Time Voice & Video Streaming Engineer WebRTC / Livekit
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Real-time AI Systems:
- Production experience with real-time voice AI / conversational agents: turn-taking, barge-in, interruption handling, sub-second latency
- Streaming media / WebRTC, or frameworks built on it (LiveKit, Daily, Pipecat, or similar)
- Orchestrating multiple AI vendors into one coherent, session-level experience, with fallbacks and graceful degradation
- Demonstrated latency optimization — you have profiled a real-time pipeline and driven a number down
- Cost engineering — you think in cost-per-user-per-minute, not just "does it work"
- Production LLM integration, including the deterministic scaffolding around the model
Engineering Foundation:
- Strong backend / serverless architecture
- Firebase Firestore — you have designed production data models, not just queried them
- Production mobile delivery; React Native strongly preferred (shipped to both App Store and Google Play)
How You Work:
- Live, direct communication. Daily overlap with US Eastern hours.
- You state hard technical truths plainly. We would far rather hear "that's not possible yet — here's what is" than be told what we want to hear.
- You are resourceful about building what doesn't exist yet.
- Real-Time Orchestration Layer: A backend router and state machine that determines, in real time, which technology is active, and switches between them invisibly. This is the architectural core.
- Session Lifecycle Management: Starting, stopping, and resuming live streaming sessions on demand, under strict latency and cost constraints.
- Real-time Voice Pipeline: Wake-phrase, hands-free, sub-1.5-second end-to-end response in noisy ambient conditions, with real turn-taking and interruption handling.
- LLM Harness: Middleware enforcing persona consistency, structured memory injection, safety guardrails, and server-side deterministic rules. Not prompt engineering; a production system.
- Persistent Memory Architecture: Structured session records and living summaries that compound across sessions and days, injected into every subsequent interaction.
- Camera Perception Layer: Including confidence gating and graceful fallback. Reliability over false precision.
- Full Mobile Product: React Native (iOS + Android), Firebase, serverless backend, subscriptions, push, analytics, error monitoring, GDPR, and store submission.
- Vendor Co-Development: Working directly with our vendors' engineering teams on capabilities that don't yet exist off the shelf.
- Target Launch: October 2026
- Type: Full-time or contract. Fixed-price milestones or hourly for the right candidate. Potential to grow into a long-term technical leadership role.
- Location: Remote, with meaningful US Eastern overlap.
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Aplicar a Real Time Voice & Video Streaming Engineer WebRTC / LivekitSobre SugarShan Inc
SugarShan Inc
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