Forward Deployed AI Engineer

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