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WorkHero

Senior Software Engineer, Voice AI & Data Infrastructure

USA (Remote) · International (Remote)

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hirly's read of this role

Role family
Engineering
Seniority
Senior
Country
US
Work mode
Remote-friendly
First seen by hirly
28 Sept 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

WorkHero is building the AI-powered back office for the skilled trades, starting with the $50B+ HVAC industry. Small contractors are great at their trade but lose 20+ hours a week to invoicing, permits, scheduling, and paperwork. WorkHero combines expert office managers with automation and AI tooling, enabling a small team to take real ownership of that back-office work.

We’re hiring a senior engineer to own our real-time voice stack end to end—AI agents operating on live phone calls—and the data platform that turns those calls into insight: call → transcript → events → warehouse → dashboards. You’ll own meaningful systems end to end alongside a small, senior team with deep experience in AI, product, and the trades.

What you’ll build

New product screens and flows (jobs, customers, invoices, scheduling) in React and React Native, especially AI chat UI (chat & tool result rendering, streaming responses, human review and feedback loops)

AI workflows in production: tool-using agents, RAG/search, classification/extraction, and human-in-the-loop flows

Automations: Contribute new features and improvements to our AI-powered business automation platform

In addition, you’ll own our first investments into a realtime voice stack and the call-data platform behind it. For example:

Realtime voice agents on live phone calls: telephony/WebRTC integration, streaming speech-to-text and text-to-speech, turn-taking, interruption handling, and latency optimization

Voice pipeline reliability: backpressure, failover, graceful degradation, and monitoring for live calls

Call-data pipeline: transcripts, events, and structured extraction flowing from every call into the warehouse

Analytics & dashboards: data modeling and conversation-intelligence features on top of call data

Evals & monitoring for voice agents: quality metrics, drift detection, and cost/latency tracking

Cloud infrastructure: scaling our platform with infrastructure as code, queues and orchestration, and CI/CD

Responsibilities

Analyze requirements and propose innovative AI-native solutions to technical problems

Write clean scalable code

Own the voice and data stack end-to-end: design, build, test, deploy, and operate

Optimize the performance, latency, and cost of our realtime AI systems

Respond to critical system issues and ensure continuous system reliability

Mentor team members and collaborate across teams, especially with product and subject matter experts

Work to understand the needs of our users and think creatively about how to solve design challenges in your work

This is a Remote role. We expect Minimum 4 hours overlap with WorkHero team (11am-3pm ET).

Qualifications

Senior-level backend experience (typically 5+ years) shipping production systems that you've owned

Hands-on experience with realtime voice or streaming systems: telephony (SIP/Twilio), WebRTC, streaming STT/TTS, or frameworks like LiveKit or Pipecat — or comparable experience with demanding realtime/streaming infrastructure

Data engineering fundamentals: event pipelines, data modeling, warehousing, and analytics on production data

Strong proficiency in a typed backend language (TypeScript preferred; comparable experience welcome)

Hands-on experience with LLM-powered features (usage, prompting, optimization, etc) and AI architectures

The ability to work with infrastructure as code (terraform), cloud, and CI/CD systems at scale. We're a small team, so we own the whole stack!

Excitement to leverage AI coding tools to their maximum benefit. We love Claude Code and Cursor and are constantly looking for better ways to leverage our time to build fast and build for scale.

Nice to have

experience with voice-AI platforms (Vapi, Retell, Bland, Deepgram, LiveKit) or conversation-intelligence products (e.g. Gong-style analytics)

experience scaling cloud infrastructure, especially AWS, and how to get the most out of key AWS services

experience with workflow automation tools like n8n or Lindy

experience with React for building internal dashboards

experience with HVAC or back-office business workflows

WorkHero is committed to building a diverse team. We encourage candidates from all backgrounds to apply.

Original posting on WorkHero's site ↗

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