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Software Engineer
hace 14 horas
We're looking for a full-time Software Engineer who will help design, develop, deploy, and scale applications that power a suite of medical front office workflows, leveraging technology to reduce the potential for error while minimizing the amount of manual effort required. These workflows, which include appointment scheduling, financial clearance, and inquiry handling, are maintained alongside actively curated knowledge bases and an evolving ecosystem of third party systems (e.g., EHRs, eligibility / authorization services, provider registries). You will help design and optimize real-time voice AI applications, integrating NLP models, speech-to-text (STT), text-to-speech (TTS), and intent recognition to service interactions. You will also advance software engineering practices for securely delivering microservices and real-time voice applications across our own cloud infrastructure, as well as infrastructure managed by Salesforce and other strategic partners. You will help shape our engineering culture and uphold our values to Act as One Team, Own the Outcome, Default to Open, Learn Through Feedback, and See the Whole Person.
Primary Job Duties- Leverage cloud-based service providers (e.g., AWS) and internal systems of record (e.g., Salesforce Health Cloud) to design and implement production-caliber applications for administrative self-service, real-time voice support, and data processing
- Ensure real-time performance of voice AI applications, implementing optimizations for low-latency speech processing and reliable conversational interactions in patient-facing workflows
- Contribute to ongoing improvement of telemetry and system reliability monitoring, supported by analytics and machine learning to enable cost-effective scale-out and auto-recovery as application usage grows
- Ensure compliance with HIPAA and other regulatory standards while implementing voice AI solutions that mitigate bias and improve accessibility.
- Develop automated tests and end-to-end testing guidliens during the life cycle of application development , planning for new releases to ensure that products work as expected
- Coordinate any product improvements that impact day-to-day operations, working alongside our implementation team, patient care team, and our technology partners to anticipate and mitigate issues
- Bachelor's Degree in Computer Science, Information Systems, Engineering, or related field, or equivalent relevant work experience
- Experience developing and deploying real-time voice AI systems using technologies like ASR (e.g., Whisper, DeepSpeech), TTS (e.g., Amazon Polly, Google WaveNet), and conversational AI (e.g., Rasa, Dialogflow, Amazon Lex)
- Strong understanding of healthcare workflows and data, with an emphasis on prior experience with administrative processes for U.S. healthcare providers and payers
- Experience building and maintaining modular, scalable applications (based in Javascript / Python) that leverage cloud-based services (e.g., AWS) and modern dev ops tools (e.g., for CI/CD, data pipelines)
- Prior experience with building and deploying production AI applications (particularly those featuring real-time voice as a modality) is preferred
- Track record of contributing meaningfully to team-based development work in a hybrid (on-site / remote) environment
