Senior Software Engineer, Voice AI & Data Infrastructure
About The Position
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.
Requirements
- 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 Haves
- 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
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
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
