We are seeking a skilled Software Development Specialist to join our team. About the Role This position involves designing, developing, and deploying cloud-based applications that streamline medical front office workflows using technology to minimize errors and manual effort. The specialist will create real-time voice AI applications, integrating NLP models, speech-to-text (STT), text-to-speech (TTS), and intent recognition for service interactions. Primary Responsibilities - Create production-caliber applications using cloud-based service providers (e.g., AWS) and internal systems of record (e.g., Salesforce Health Cloud) for administrative self-service, real-time voice support, and data processing - Optimize real-time performance of voice AI applications with 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 for 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 guidelines during the application development life cycle, planning for new releases to ensure products work as expected Required Skills and Qualifications - 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 - 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 environment