About the role
Job Summary: Parlance builds conversational voice AI for healthcare — patient-facing agents that answer calls, verify identity, schedule, and reach into EHRs like Epic, Cerner, Meditech, and Athena to get things done. We are looking for a senior full-stack engineer who has shipped on a modern voice agent stack and can own problems end to end: from telephony and real-time media, through orchestration and LLM logic, to the APIs and data services behind it.
This is not a narrowly scoped integrations role. You will be one of the engineers shaping how our next-generation voice platform is built.
Job Description:
Senior Software Engineer – Voice AI Platform
Parlance | Woburn, MA (remote) | Full-time
About the role
Parlance builds conversational voice AI for healthcare — patient-facing agents that answer calls, verify identity, schedule, and reach into EHRs like Epic, Cerner, Meditech, and Athena to get things done. We are looking for a senior full-stack engineer who has shipped on a modern voice agent stack and can own problems end to end: from telephony and real-time media, through orchestration and LLM logic, to the APIs and data services behind it.
This is not a narrowly scoped integrations role. You will be one of the engineers shaping how our next-generation voice platform is built.
What you’ll do
Design and build real-time voice agents on frameworks such as Pipecat, LiveKit Agents, or comparable platforms — STT/TTS pipelines, turn-taking, interruption handling, latency tuning
Own features across the stack: telephony/CCaaS connectivity (SIP, WebRTC, Five9/Webex CC), backend services in Python, and the internal tools and dashboards the team runs on
Build and extend the services that connect agents to healthcare systems — FHIR-based EHR integrations, scheduling, and patient data access — with the security and reliability healthcare demands
Debug hard problems in production: audio quality, call flow failures, model behavior, and distributed-system issues across cloud, telephony, and third-party APIs
Set up evaluation and observability for voice agents so we know when they are working and when they are not
Contribute to architecture decisions, review code, and raise the bar for the team
Work directly with product, customer success, and customers to turn ambiguous requirements into shipped software
What we’re looking for
6+ years building production software, with strong depth in Python and comfort across backend, frontend, and infrastructure
Hands-on experience building voice agents on Pipecat, LiveKit, Vapi, Retell, Daily, or a similar real-time framework — you have dealt with barge-in, latency budgets, and flaky audio, not just a demo
Working knowledge of real-time media and telephony: WebRTC, SIP, audio codecs, streaming STT/TTS (Deepgram, ElevenLabs, Cartesia, Azure Speech, or similar)
Experience integrating LLMs into production systems — prompt design, function calling, structured outputs, evals
Solid engineering fundamentals: API design, testing, CI/CD, containers, cloud deployment (Azure preferred; AWS/GCP fine)
Strong debugging instincts and the ability to work through ambiguity without waiting for a spec
Clear written and verbal communication
Nice to have
Healthcare integration experience: FHIR, HL7, EHR APIs, HIPAA-aware engineering
Contact center platform experience (Five9, Genesys, Webex CC, Amazon Connect)
Experience with CCaaS/IVR migration or replacing legacy speech platforms
Frontend experience with React/TypeScript for Web Portal
Why Parlance
Small, senior engineering team with real ownership. Real patients on the other end of every call. Backed by Constellation Software, so the stability of a large company with the pace of a small one.
Compensation & eligibility
Candidates must be authorized to work in the United States; we are unable to sponsor employment visas now or in the future.
Worker Type:
Regular
Number of Openings Available:
1