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exacare ai Tech Stack
AI platform for post-acute care operations and reimbursement workflows
Exacare AI operates an AI platform for post-acute care providers, built on Python, PyTorch, and MLflow with Kubernetes orchestration—a stack shaped for ML-heavy workloads at scale. The company is hiring aggressively across engineering, product, and ops (26 roles in the last 30 days, majority senior-level), while actively tackling data infrastructure challenges: unstructured referral packets, fragmented admission processes, and the transition from supporting 1,500 to 10,000+ facilities. This pattern signals rapid scaling against operational bottlenecks that require both ML acceleration and internal process redesign.
Tech Stack 44 technologies
Core StackHubSpot Python PyTorch MLflow Weights & Biases Docker Kubernetes Kubeflow Prometheus RAG AWS TypeScript PostgreSQL React Intercom Zendesk Node.js Storybook Sentry Datadog Playwright Cypress Optuna Ray Tune Transformers Loom GCP Chakra UI Material-UI Bugsnag+14 more
What exacare ai Is Building
◆Challenges
- Unstructured referral packets
- Scaling customer support function
- Scaling ml infrastructure
- Fragmented admission processes
- Shortening time-to-value
- Underleveraged data
- Efficiency across company
- Scaling from 1,500 to 10,000 facilities
- Manual admission work
- Scaling processes
▲Active Projects
- Pilot and full rollout support
- Data model design
- Reporting infrastructure
- Data product offering
- Source of truth across data sources
- Knowledge transfer systems
- Customer onboarding capacity tools
- Admissions workflow redesign
- Dashboard and feature-flag system development
- Dataset creation and curation
Hiring Activity
25 roles · 25 in 30d
Department
Seniority
Company intelligence