Backend Engineer (Voice AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Backend Engineer (Voice AI): Building and optimizing high-performance voice AI pipelines with an accent on pipeline stability, pluggability, and low-latency streaming. Focus on consolidating BullMQ to Kafka, hardening provider abstractions, and improving system reliability for real-time voice agents.
Location: Hybrid (San Francisco)
Salary: $180K – $265K + Equity
Company
is a Voice AI platform for deploying intelligent voice agents that can listen, adapt, and resolve customer issues in real-time.
What you will do
- Own the stability and pluggability of the StreamModule pipeline (VAD → STT → LLM → TTS → Transport).
- Consolidate BullMQ into Kafka to optimize the messaging infrastructure.
- Harden provider abstractions for LLM, STT, and TTS to allow seamless addition of new models without core changes.
- Implement event-driven OpenTelemetry tracing for critical pipeline stages to improve observability.
- Resolve Postgres single points of failure (SPOFs) to enhance system reliability.
- Collaborate with agent and FDE teams on design reviews for new providers and pipeline changes.
Requirements
- Experience building real-time or streaming systems in production (e.g., media pipelines, event-driven backends).
- Deep understanding of queue architectures such as Kafka, BullMQ, or Temporal.
- Experience designing plugin or adapter architectures with decoupled implementations.
- Proven experience operating Postgres at scale, including connection pooling and schema migrations.
- Proficiency in instrumenting systems using OpenTelemetry and event-driven traces.
Nice to have
- Experience with TypeScript, Node.js, and NestJS.
Culture & Benefits
- Ownership-driven culture with a team comprised of 70% previous founders.
- Competitive salary and significant equity ownership.
- Comprehensive medical, dental, and vision insurance plans.
- Flexible time off policy and quarterly team off-sites.
- Additional perks including catered meals, gym membership, and a $10k annual L&D budget.
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