Senior Software Engineer, Voice AI – Data Infrastructure
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Job Description
Senior engineer building WorkHero’s AI-powered back office for skilled-trades contractors. Owning realtime voice agents, call-data pipelines, analytics, and cloud infrastructure.
Responsibilities:
- Build new product screens and flows for jobs, customers, invoices, and scheduling using React and React Native
- Develop AI chat interfaces with chat and tool-result rendering, streaming responses, human review, and feedback loops
- Build and operate production AI workflows, including tool-using agents, RAG/search, classification/extraction, and human-in-the-loop flows
- Contribute features and improvements to WorkHero’s AI-powered business automation platform
- Own realtime voice agents on live phone calls, including telephony/WebRTC integration, streaming speech-to-text and text-to-speech, turn-taking, interruption handling, and latency optimization
- Improve voice-pipeline reliability through backpressure, failover, graceful degradation, and monitoring
- Build the call-data pipeline from transcripts and events through structured extraction and the warehouse
- Develop data models, analytics, and conversation-intelligence dashboards
- Implement voice-agent evaluations and monitoring for quality, drift, cost, and latency
- Scale cloud infrastructure with infrastructure as code, queues, orchestration, and CI/CD
- Analyze requirements and propose innovative AI-native solutions
- Write clean, scalable code
- Design, build, test, deploy, and operate the voice and data stack end to end
- Optimize realtime AI-system performance, latency, and cost
- Respond to critical system issues and ensure continuous reliability
- Mentor team members and collaborate with product teams and subject matter experts
- Understand user needs and solve design challenges creatively
Requirements:
- Typically 5+ years of senior-level backend experience shipping production systems owned by the candidate
- Hands-on experience with realtime voice or streaming systems, such as telephony (SIP/Twilio), WebRTC, streaming STT/TTS, LiveKit, or Pipecat, or comparable demanding realtime/streaming infrastructure
- Data engineering fundamentals including event pipelines, data modeling, warehousing, and analytics on production data
- Strong proficiency in a typed backend language; TypeScript preferred, with comparable experience welcome
- Hands-on experience with LLM-powered features, including usage, prompting, optimization, and AI architectures
- Ability to work with infrastructure as code, including Terraform, cloud, and CI/CD systems at scale
- Ability to overlap at least 4 hours with the WorkHero team, from 11am–3pm ET
- Willingness or excitement to leverage AI coding tools such as Claude Code and Cursor
- Candidates are encouraged from all backgrounds to apply
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