Forward Deployed AI Engineer
Коротко о вакансии
Circadia Health, компания в сфере здравоохранения и ИИ, ищет Forward Deployed AI Engineer для работы с клиентами в пост-остром уходе. Инженер будет внедрять и настраивать платформу Circadia Intelligence, интегрировать её с EHR и другими системами, а также адаптировать AI-модели под конкретные клинические и операционные задачи. Работа предполагает тесное взаимодействие с командами инженерии, Data Science и Product, а также с клиентами. Важно иметь опыт в AI/ML, владеть Python и уметь общаться с техническими и нетехническими специалистами.
- Формат работы
- офис
- Зарплата
- 90 000 — 120 000 $ — по данным Circadia Health
- Ключевые требования
- Степень в Computer Science, AI/ML, Data Science или смежной области
- Курсы и проекты по AI/ML, включая LLM-приложения
- Навыки программирования на Python, знание API и SQL
- Чёткая коммуникация с техническими и нетехническими людьми
- Кому подойдёт
- Вакансия подойдёт инженерам с опытом в AI/ML, которые хотят работать на стыке технологий и реальных клинических процессов в стартапе.
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About Circadia Health Circadia Health is a growth-stage healthcare AI company on a mission to prevent avoidable hospitalizations and transform senior-care operations. Our Circadia Intelligence Platform combines: Contactless sensing that monitors respiration and motion with medical-grade accuracy Native predictive models that detect 85% of preventable adverse events several days in advance Enterprise integrations that operationalize predictions directly inside EHR, care-coordination, billing, and compliance workflows Today, our technology touches 40,000+ post-acute patients daily across skilled-nursing, home-health, and home-care networks. We are backed by leading healthcare and AI investors and headquartered in El Segundo, CA.
About the Role
As our Forward Deployed AI Engineer, you’ll sit at the point where Circadia’s AI meets our customers’ day-to-day care operations. You’ll work hands-on with skilled-nursing, home-health and home-care partners to deploy, integrate and tailor the Circadia Intelligence Platform to their workflows. You’ll partner closely with Engineering, Data Science, Product and Customer Success to turn customer needs into working solutions, and bring what you learn in the field back into the core product.
What You’ll Do
- Lead technical deployments of the Circadia Intelligence Platform at customer sites, from scoping through go-live and adoption
- Build and maintain integrations that bring Circadia’s predictions into customer EHR, care-coordination, billing and compliance workflows
- Configure, adapt and evaluate AI and predictive-model workflows (including LLM-based tools) for each customer’s clinical and operational context
- Work directly with clinical and operations stakeholders to understand their workflows and translate their needs into technical requirements and working solutions
- Diagnose and resolve deployment, data-quality and integration issues in production
- Feed field insights back to Product, Engineering and Data Science to shape the roadmap and make future deployments faster and repeatable
- Build reusable tooling, documentation and playbooks for customer onboarding
Must-Have Qualifications
- Degree (in progress or completed) in Computer Science, AI/ML, Data Science or a related field
- Relevant AI/ML coursework and hands-on projects, including LLM-based applications
- Programming skills in Python, with familiarity with APIs and SQL
- Clear communication with technical and non-technical people
Nice-to-Haves
- Experience with healthcare data, EHR systems or post-acute / senior-care settings
- Familiarity with HIPAA and working with protected health information
- Experience with cloud platforms (AWS, GCP or Azure) and containerized deployments
- Experience at an early- or growth-stage startup
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