Senior Software Engineer, Voice AI & Data Infrastructure
AI in this role
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.
How we score this
Senior Software Engineer, Voice AI & Data Infrastructure at WorkHero scores 64 out of 100 on AI centrality, which makes it AI Level 3 of 4 (Works on AI) on this board. The level measures how much of the work is AI, not seniority.
AI Level 3. The daily work is on or around AI systems, without necessarily building the model: remove AI and the job is hollow.
- AI Level 480 to 100
- AI Level 360 to 79
- AI Level 240 to 59
- AI Level 10 to 39
Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- How would you design a retrieval step so the model answers from real data instead of guessing?
- How do you decide when an AI agent can act on its own versus asking for approval first?
- What have you built with speech recognition or text-to-speech, and where did it break?
- What's a project where you used Claude hands-on?
- Walk me through how you've used N8n in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Rag, AI Agents, Speech, Claude, and N8n. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.
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