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Voice AI Engineer

Clera · Remote
RemoteFull-timeTechnologyMid Level$0–$72,000/yr
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About the Voice AI Engineer role

Voice AI Engineer positions focus on delivering results in their domain. This page aggregates open Voice AI Engineer roles and what employers typically expect.

### 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**.

Salary estimate

$0 – $72,000/yr
Provided by the employer.

Skills for this role

TypescriptNODEPostgresqlAWSTerraformLLM

Resume tips for Voice AI Engineer applicants

Interview preparation

Prepare concrete STAR-format stories that show Voice AI Engineer outcomes you drove.

Research the employer's product and recent news before the interview.

Be ready to explain how you'd approach a typical Voice AI Engineer problem end to end.

Have thoughtful questions ready about the team, tools and success metrics.

About Clera

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