Voice AI Engineer
About this role
Voice AI Engineer
Reports to: Head of Engineering / CTO
About Superagent AI
Superagent AI is building the AI-native distribution layer for insurance — a $7T industry still run on manual workflows and legacy software. We're an early-stage, fast-moving team reimagining how insurance is sold, serviced, and supported, with AI at the core. Backed by top-tier VCs, we're an international team of exited founders, builders, and technologists. Already trusted by 100+ agencies, we run a real-time voice platform with growing call volume and millions of traces - voice is core to the product, not a bolt-on.
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 that powers live calls.
- Improve reliability and latency for a system handling growing call volume and millions of traces.
- Instrument and monitor voice quality, latency budgets, and failure modes in production.
- Ship daily using Claude Code / Codex as a core part of how you work - we're an AI-native engineering org.
About you (must-haves)
- High ownership and hands-on experience - you take a feature from design to production and support it after ship.
- Real-time voice / telephony experience: Twilio, SIP, ASR/TTS, or latency-sensitive audio systems.
- Strong in TypeScript/Node for production backend systems.
- Comfortable with distributed/event-driven systems and production reliability (on-call, incidents, latency budgets).
- You use Claude Code / Codex or similar AI coding tools daily.
Bonus
- Experience building agentic systems in production - tools/skills frameworks, MCP, evals, guardrails.
- Applied LLM work: fine-tuning, distillation, eval-driven development.
- Insurance, fintech, or another regulated/compliance-heavy vertical.
Our stack
Backend: TypeScript, Node, 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) · How we ship: Linear, GitHub, Claude Code + Codex as part of daily engineering.
How we work
Fast-moving distributed team with an AI-native engineering culture. We're closer to our customers than most competitors - that's our edge, and it drives how we prioritize. We ship things that work for real agencies, not demos.
Company at a glance
AI-native distribution layer for insurance — autonomous AI agents for sales, service, and support at independent agencies.
What happens next
Skip the application pile. I get you in front of the people who decide.
Confirm the fit
A few questions to make sure this role is the right shape for you. Two minutes.
I pitch you to the company
I write the intro, send it to the founder, and handle the back-and-forth.
A meeting lands on your calendar
When the company wants to meet, I get the call on your calendar. You just show up.
Know someone who'd be great for this?

