We are a YC-backed AI startup building the worlds most advanced real-time Speech AI coach used in online calls. Over the past six months weve grown from $100k to $5M ARR raised $2.5M from top-tier investors and assembled a world-class engineering team (ex-Google Nvidia Lyft Amazon) solving hard problems in voice ML and real-time infrastructure.
We are looking for a senior hands-on engineer to lead development of our real-time Voice AI Agent and internal ML toolkit. Youll own end-to-end systems across real-time audio applied ML and production deployment working directly with our CEO and CTO.
What Youll Do
- Build and scale our Real-Time Voice AI Agent (LiveKit/WebRTC):
streaming ASR/TTS VAD diarization state machines session management latency/QoS tuning. - Develop our ML toolkit and ship models to prod (ASR TTS VAD embeddings speaker ID).
DSP ffmpeg/decoding ONNX/TensorRT reproducible pipelines. - Contribute to backend when needed ( REST/OpenAPI Postgres/Supabase).
- Work on applied ML around LLMs: RAG function-calling routing safety A/B testing.
- Design reliable real-time systems: backpressure retries idempotency batching caching.
- Build data workflows: collection cleaning anonymization synthetic data offline/online eval.
- Own observability & SLOs: Prometheus Grafana Sentry tracing alerting.
- Deploy and operate infra: Docker GitHub Actions LiveKit Cloud Modal/AWS (GPU inference).
What We Value
- Ability to move fast and deliver (high-intensity startup mindset).
- Experience in big tech / strong VC-backed startups / Yandex / research labs.
- Any founder experience (even failed).
- Strong engineering fundamentals taste in product & design.
- Open-source contributions ML/algorithms background Kaggle/CF/olympiads are a plus.
- A public presence: blog Twitter engineering posts bonus points.
- Clear communication and ability to explain complex systems simply.
We do not hire from outsourcing firms Web3 or gambling.
What We Offer
- High-ownership role with direct impact on product and roadmap.
- Work directly with CEO/CTO every day.
- Competitive salary meaningful equity (company valued at $20M last year).
- Fully async remote any timezone (via Deel).
- US visa support (O-1).
- 12 global offsites per year (last one Bali).
- Clear growth path: compensation increases with delivered projects.
We are a YC-backed AI startup building the worlds most advanced real-time Speech AI coach used in online calls. Over the past six months weve grown from $100k to $5M ARR raised $2.5M from top-tier investors and assembled a world-class engineering team (ex-Google Nvidia Lyft Amazon) solving hard prob...
We are a YC-backed AI startup building the worlds most advanced real-time Speech AI coach used in online calls. Over the past six months weve grown from $100k to $5M ARR raised $2.5M from top-tier investors and assembled a world-class engineering team (ex-Google Nvidia Lyft Amazon) solving hard problems in voice ML and real-time infrastructure.
We are looking for a senior hands-on engineer to lead development of our real-time Voice AI Agent and internal ML toolkit. Youll own end-to-end systems across real-time audio applied ML and production deployment working directly with our CEO and CTO.
What Youll Do
- Build and scale our Real-Time Voice AI Agent (LiveKit/WebRTC):
streaming ASR/TTS VAD diarization state machines session management latency/QoS tuning. - Develop our ML toolkit and ship models to prod (ASR TTS VAD embeddings speaker ID).
DSP ffmpeg/decoding ONNX/TensorRT reproducible pipelines. - Contribute to backend when needed ( REST/OpenAPI Postgres/Supabase).
- Work on applied ML around LLMs: RAG function-calling routing safety A/B testing.
- Design reliable real-time systems: backpressure retries idempotency batching caching.
- Build data workflows: collection cleaning anonymization synthetic data offline/online eval.
- Own observability & SLOs: Prometheus Grafana Sentry tracing alerting.
- Deploy and operate infra: Docker GitHub Actions LiveKit Cloud Modal/AWS (GPU inference).
What We Value
- Ability to move fast and deliver (high-intensity startup mindset).
- Experience in big tech / strong VC-backed startups / Yandex / research labs.
- Any founder experience (even failed).
- Strong engineering fundamentals taste in product & design.
- Open-source contributions ML/algorithms background Kaggle/CF/olympiads are a plus.
- A public presence: blog Twitter engineering posts bonus points.
- Clear communication and ability to explain complex systems simply.
We do not hire from outsourcing firms Web3 or gambling.
What We Offer
- High-ownership role with direct impact on product and roadmap.
- Work directly with CEO/CTO every day.
- Competitive salary meaningful equity (company valued at $20M last year).
- Fully async remote any timezone (via Deel).
- US visa support (O-1).
- 12 global offsites per year (last one Bali).
- Clear growth path: compensation increases with delivered projects.
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