Voice AI Engineer
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Google

Voice AI Engineer
72,000 / Year
Location
San Francisco
Experience
Mid
Posted
Jul 14, 2026
Apply by
August 13, 2026
Applicants
0
Early applicantEasy applyFull-timeWork from Home
Job Description
### About the Role
We're building the AI-native distribution layer for the insurance industry — a massive, largely untouched market still running on manual workflows and legacy software. Voice is core to our product, not an afterthought: we operate a real-time voice platform with growing call volume and millions of production traces. As a Voice AI Engineer, you'll own critical pieces of that infrastructure end-to-end, from telephony and ASR/TTS pipelines to the agent-skills layer that powers live calls.
We're a fast-moving, distributed team with an AI-native engineering culture. We ship things that work for real customers — not demos.
### What You'll Do
- Build and improve our real-time voice platform: call handling, ASR/TTS pipelines, and latency-sensitive audio processing.
- Work on telephony infrastructure (Twilio/SIP) and the agent/skills layer powering live calls.
- Drive reliability and latency improvements for a system handling growing call volume at scale.
- Instrument and monitor voice quality, latency budgets, and failure modes in production.
- Ship daily using AI coding tools (Claude Code / Codex) as a core part of how you work — we're an AI-native engineering org.
### What We're Looking For
Must-Haves
- Real-time voice / telephony experience: hands-on with Twilio, SIP, ASR/TTS, or latency-sensitive audio systems.
- Strong TypeScript / Node.js for production backend systems.
- High ownership mentality — you take a feature from design to production and support it after launch.
- Comfortable with distributed/event-driven systems, on-call rotations, incident response, and latency budgets.
- Proficiency instrumenting and monitoring voice quality and failure modes in production.
- Eligible to work in LATAM, Ukraine, or Portugal (fully remote); visa sponsorship is not available.
Nice-to-Haves
- Experience building agentic systems in production (tools/skills frameworks, MCP, evals, guardrails).
- Applied LLM work: fine-tuning, distillation, eval-driven development.
- Background in insurance, fintech, or another regulated/compliance-heavy vertical.
- Daily use of AI-assisted development tools (Claude Code, Codex, or similar).
Tech Stack
- Backend: TypeScript, Node.js, NestJS (monorepo)
- Orchestration: Temporal (Temporal Cloud)
- Data: PostgreSQL on AWS RDS (multi-tenant), Terraform IaC
- AI: Anthropic + OpenAI models
- Platform: AWS, Clerk (auth), Datadog (observability)
- Tooling: Linear, GitHub, Claude Code + Codex
### Compensation & Benefits
- Salary up to $72,000 USD annually (floor dependent on experience and location)
- Fully remote role with a distributed, international team
- High-autonomy, high-ownership engineering culture
- Work closely with customers and directly influence product direction
### Location
This is a fully remote position. We are currently hiring candidates based in LATAM, Ukraine, or Portugal. Visa sponsorship is not available.
Key Responsibilities
- Build and improve real-time voice platform including call handling and ASR/TTS pipelines
- Develop telephony infrastructure using Twilio and SIP
- Drive reliability and latency improvements for high-volume systems
- Instrument and monitor voice quality, latency budgets, and failure modes
- Ship daily using AI coding tools as part of the engineering workflow
Skills Required
TypeScriptNode.jsTwilioSIPASRTTSPostgreSQLAWSTerraformTemporalDatadogClaude CodeCodexHigh ownershipProblem solvingIncident responseAgentic systemsMCPLLM fine-tuningLLM distillationEval-driven developmentInsurance domain knowledgeFintech domain knowledge
Benefits
- Fully remote role
- High-autonomy engineering culture
- Direct customer influence
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