Senior Software Engineer, Voice AI & Data Infrastructure

Role Description

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.
• 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.

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.
• Excitement to leverage AI coding tools to their maximum benefit.

Requirements

• 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.

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.

Benefits

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

Company Description

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.