Nsight Health денсаулық сақтау ұйымдарына толық басқарылатын қашықтан медициналық көмек көрсету бағдарламалары арқылы көмекті дәстүрлі қабылдаулардан тыс кеңейтуге көмектеседі. Оның қызметтеріне пациенттерді қашықтан бақылау, созылмалы ауруларды басқару, негізгі ауруларды басқару, мінез-құлық денсаулығын интеграциялау және қашықтан терапиялық бақылау кіреді. Бұл қызметтер FDA мақұлдаған құрылғылармен, бірнеше электрондық медициналық жазбалар жүйесіне қосылу мүмкіндігімен, АҚШ-та орналасқан клиникалық топтармен, пациенттерді тіркеумен, құрылғылар логистикасымен және CMS-ке бағытталған құжаттандыру әрі өтемақы алу үдерістерімен қамтамасыз етіледі. Nsight Health медициналық қызмет көрсетушілермен, денсаулық сақтау жүйелерімен, ACO ұйымдарымен, медициналық сақтандыру жоспарларымен және өмір туралы ғылымдар саласындағы ұйымдармен жұмыс істейді. Олардың қатарында қажетті ішкі инфрақұрылымды құрмай-ақ, ауқымды немесе ақ жапсырмалы қашықтан көмек көрсету операцияларын іздейтін медициналық тәжірибелер де бар.
Remote AI Engineer, Voice Agents and Healthcare AI
Own and improve production voice agents and privacy-safe AI pipelines for Nsight Health’s remote patient monitoring and chronic care platform. Help strengthen call quality, compliance, alerting, and automation for patient care.
Сипаттама
- Operate and continuously improve AI phone agents handling inbound and outbound patient calls.
- Act as the technical point of contact between Nsight Health and its IVA provider.
- Turn clinical and operational needs into provider guidance, and explain provider capabilities to internal teams.
- Track provider performance against quality and HIPAA compliance standards.
- Set release acceptance criteria and develop layered test harnesses for provider updates.
- Configure and refine AI phone agents to meet clinical and operational objectives.
- Guide the provider’s NLU engine design, tuning, accuracy, and ongoing improvement.
- Build and maintain alerts by collecting provider data, classifying failure patterns, and triggering notifications.
- Design AI-driven quality intelligence pipelines that identify failures early and route them to responsible owners.
- Develop PHI-safe audio processing pipelines with local speech-to-text and in-memory PHI redaction.
- Ensure HIPAA-compliant data handling across AI pipelines and third-party integrations covered by BAAs.
- Create AI-native tools, including semantic search, vectorized data processing, and automated alerts.
- Report to the VP of Engineering and collaborate with the EVP of Patient Experience and the R&D team.
- Improve voice interactions for thousands of Medicare patients across more than 350 clinics.
Талаптар
- Bring at least four years of experience in machine learning or AI engineering.
- Have at least two years of direct experience with production LLM integrations in systems used by real people.
- Demonstrate deep NLP/NLU expertise, including intent recognition, entity extraction, and utterance design.
- Have production voice AI experience with speech-to-text, text-to-speech, or conversational AI using NLU.
- Have experience training and tuning production NLU, including training data pipelines, utterance sets, accuracy measurement, and iteration.
- Understand healthcare data, including claims, remote patient monitoring vital-sign streams, EHR data models, and AI applied to HIPAA-covered patient data.
- Have hands-on experience designing multi-agent systems.
- Use prompt engineering for classification and structured output at production volume.
- Know how to design PHI-safe AI pipelines using in-memory redaction, local inference, and data minimization.
- Be fluent with the Anthropic Claude, AWS Bedrock, and OpenAI APIs.
- Have experience with vector and embedding infrastructure such as pgvector or Pinecone.
- Have experience with agent and orchestration frameworks such as LangChain, LlamaIndex, or CrewAI.
- Be proficient with PostgreSQL and SQL.
- Have experience with alerting and issue-routing tools such as the Jira API, Slack webhooks, or PagerDuty.
- Be familiar with telephony platforms such as Five9 or Twilio.
- Use Claude Code, GitHub Copilot, or an equivalent AI-assisted development tool regularly; this is a firm requirement.
- A bachelor’s degree in computer science, engineering, or a related field is preferred; relevant experience is weighted heavily over formal education.
- Preferred: Experience with Whisper, Deepgram, AWS Transcribe, or text-to-speech providers.
- Preferred: Experience in clinical or regulated audio settings.
- Preferred: Experience with Tray.io workflow automation and integrations.
- Preferred: Experience with AWS Glue and Apache tools such as Airflow, Kafka, or Spark.
Артықшылықтар
- May qualify for an annual performance bonus based on company and individual results.
- Paid time off accrued over time.
- Medical insurance plan options.
- Dental insurance plan options.
- Vision insurance plan options.
- Supplemental insurance plan options.
- 401(k) plan with a 3.5% company match.
- Company-provided equipment.