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AI Agent Engineer (Realtime Systems & Backend)

Discussion
  • Development of the Voice AI Agent using Python, LiveKit and WebRTC
  • Ownership of end-to-end real-time voice pipelines including streaming ASR/TTS, VAD, diarization, state management, retries and latency optimization
  • Building agent orchestration and applied ML systems around LLMs including tool calling, routing, RAG, memory, guardrails, fallback flows, prompt/response orchestration and A/B testing
  • Development and deployment of voice and ML components including ASR, TTS, VAD, speaker diarization, embeddings and scoring
  • Working with DSP, ffmpeg, streaming inference, quantization, ONNX and TensorRT
  • Development of backend services and integrations using Nest.js, Node.js, REST, OpenAPI, Drizzle ORM, Supabase and PostgreSQL
  • Design of reliable and scalable real-time systems with idempotency, backpressure, caching, batching, queues, scheduling and graceful degradation
  • Ownership of observability and production reliability using Sentry, Prometheus, Grafana, Loki, tracing and SLOs
  • Management of infrastructure and deployments using Docker, GitHub Actions, LiveKit Cloud, Modal, Render and AWS
  • Maintenance of high engineering quality through testing, strict typing, documentation, code reviews and simple maintainable solutions
  • End-to-end project ownership and pragmatic technical decision making in a fast-moving environment
  • Strong hands-on engineering experience with ability to move quickly and consistently deliver to production
  • Experience working in Big Tech, VC-backed startups or Yandex
  • Previous startup or founder experience
  • Strong technical background demonstrated through top-tier education, competitive programming, Kaggle, Codeforces, olympiads or similar achievements
  • Meaningful open-source contributions and strong GitHub activity
  • Concrete examples of products or applications built or significantly contributed to with public links
  • Excellent communication skills with ability to explain complex technical concepts clearly and collaborate effectively
  • Fast-paced environment with strong focus on ownership, autonomy and consistent project delivery
  • Direct daily collaboration with CEO and CTO and full ownership of projects end-to-end
  • Competitive salary based on background and skill set plus equity option
  • Base compensation growth after product-market fit and successful project delivery
  • Fully async remote work with flexible time zones with employment through Deel in almost any country
  • Support with US O-1 visa applications
  • One or two company off-sites per year

See also

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