Forward Deployed AI Engineer
About The Position
Circadia Health is a growth-stage healthcare AI company focused on preventing avoidable hospitalizations and transforming senior-care operations. Its Circadia Intelligence Platform combines contactless respiration and motion sensing, predictive models, and enterprise integrations. The technology serves more than 40,000 post-acute patients daily across skilled-nursing, home-health, and home-care networks. The Forward Deployed AI Engineer works hands-on with skilled-nursing, home-health, and home-care partners to deploy, integrate, and tailor the Circadia Intelligence Platform to their workflows. The role partners with Engineering, Data Science, Product, and Customer Success to translate customer needs into working solutions and bring field insights back into the core product.
Requirements
- 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 such as AWS, GCP, or Azure and containerized deployments.
- Experience at an early- or growth-stage startup.
Responsibilities
- 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 customers’ clinical and operational contexts.
- Work directly with clinical and operations stakeholders to understand workflows and translate needs into technical requirements and working solutions.
- Diagnose and resolve production deployment, data-quality, and integration issues.
- Share field insights with 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.
Benefits
- 100% company-paid medical, dental, and vision coverage.
- 401(k).
- Paid time off, including vacation, sick days, and company holidays.
- Mission-driven work influencing care decisions for seniors.
- Collaborative culture with weekly and monthly social events, including yoga, beach bonfires, and team lunches.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
