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ExaCare AI

ExaCare AI

www.exacare.com

4 Jobs

28 Employees

About the Company

Transform the way you manage admissions and care with our next-generation AI tools, designed specifically for post-acute and senior care providers. Accelerate your admissions process while improving accuracy, enabling your team to make high-ROI decisions that maximize census and profitability. Engage prospects more effectively with automated, intelligent outreach tailored to their unique needs, fostering stronger connections and improving conversion rates. Optimize care delivery with tools that reduce administrative burdens, allowing your staff to focus on delivering better, more personalized care to residents. By leveraging cutting-edge AI, you can enhance operational efficiency, improve outcomes, and create a seamless experience for residents, families, and care teams--setting your community apart in a competitive market.

Listed Jobs

Company background Company brand
Company Name
ExaCare AI
Job Title
Solutions Consultant
Job Description
**Job title:** Solutions Consultant **Role Summary:** Customer‑facing implementation specialist who partners with Business Operations and other internal teams to onboard clients, deliver training, configure the ExaCare platform, document processes, and capture feedback for continuous improvement. **Expectations:** - 1+ years in consulting, banking, or a B2B SaaS customer‑facing role. - Bachelor’s degree in Business, Engineering, or a related technical field. - Strong verbal and written communication, comfortable with executives and frontline users. - Process‑oriented mindset; ability to translate complex workflows into SOPs, checklists, and guides. - Technical aptitude: comfortable product configuration, data mapping/CSV imports, basic SSO/APIs/webhooks. - Familiarity with PHI/privacy regulations (HIPAA/PHIPA) is a plus. - Excellent relationship‑building skills, detail‑oriented, and able to thrive in a fast‑paced environment. **Key Responsibilities:** 1. Design and lead onboarding workshops, role‑based curricula, quick‑start guides, and live training sessions; produce short Loom videos/tutorials. 2. Create, maintain, and improve SOPs, runbooks, checklists, templates, FAQs, and how‑to guides for internal and customer use. 3. Conduct post‑launch reviews, document lessons learned, and initiate experiments to shorten time‑to‑value and enhance training effectiveness. 4. Host implementation calls with Business Operations Managers to map client workflows, manage communications, timelines, risks, and status updates. 5. Configure the ExaCare platform for new customers: set up environments, roles/permissions, data imports, basic integrations (SSO, file/API feeds), and workflow settings. 6. Provide technical triage during onboarding, collaborate with Engineering/Support to resolve issues, and communicate updates clearly to clients. 7. Maintain project hygiene across CRM, CS tools, and project management systems; keep notes, tasks, and next steps current. **Required Skills:** - Exceptional communication and facilitation. - Relationship building and client management. - Process design, documentation, and SOP creation. - Technical configuration and basic integration knowledge (SSO, APIs, webhooks). - Data mapping, CSV import proficiency. - Attention to detail and iterative improvement mindset. - Ability to juggle multiple priorities and remain adaptable. **Required Education & Certifications:** - Bachelor’s degree in Business, Engineering, or a related field. - No specific certifications required.
Canada
Remote
26-02-2026
Company background Company brand
Company Name
ExaCare AI
Job Title
Customer Support Specialist
Job Description
Job title: Customer Support Specialist Role Summary: Deliver high‑quality, timely support for a B2B SaaS health‑tech platform, handling inbound tickets, triaging requests, ensuring customer satisfaction, and driving continuous improvement of support tools and processes. Expatations: - 3+ years in a customer‑facing support role, preferably SaaS. - Proficient written communication with strong grammar and clarity. - Ability to manage emotional intelligence, de‑escalate, and empathize. - Technical aptitude for troubleshooting, asking clarifying questions, and learning product features. - Familiarity with helpdesk platforms (Intercom, Zendesk, Pylon, etc.) and workflow automation. Key Responsibilities: - Respond to customer messages and tickets during core working hours with speed, clarity, and empathy. - Triage and prioritize inquiries, route or Escalate urgent issues, and set expectations. - Resolve tickets with a focus on quality and speed (time‑to‑resolution, CSAT). - Capture customer feedback, surface recurring issues, and flag root causes. - Create, maintain, and update FAQs, help docs, and internal troubleshooting playbooks. - Optimize support workflows, implement routing, macros, and automations to improve efficiency. - Mentor and onboard new support hires; shape the long‑term support function. Required Skills: - Customer‑support expertise, strong written communication, high attention to detail. - Emotional intelligence, conflict de‑escalation, empathy. - Technical troubleshooting and product learning. - Proficiency with helpdesk platforms (Intercom, Zendesk, Pylon) and ticket‑queue management. - Ownership mindset, process improvement focus, systemic thinking. Required Education & Certifications: - Bachelor’s degree in Business, Communications, Computer Science, or related field (preferred). - No mandatory certifications, though knowledge of customer‑support tools or SaaS metrics is a plus.
Canada
Remote
Junior
26-02-2026
Company background Company brand
Company Name
ExaCare AI
Job Title
Machine Learning Engineer
Job Description
Job title: Machine Learning Engineer Role Summary: Deploy and maintain end‑to‑end machine learning workflows, moving from data curation and model research to scalable production inference. Lead rapid experimentation, LLM fine‑tuning, and performance monitoring while ensuring reproducibility and efficient resource use. Expactations: - 3+ years of production ML engineering experience. - Expert Python and PyTorch development. - Systematic hyperparameter search and optimization (Optuna, Ray Tune). - Strong experiment tracking (MLflow, Weights & Biases). - MLOps fluency: Docker, Kubernetes, CI/CD pipelines for model serving. - LLM experience (fine‑tuning, prompt engineering, Retrieval‑Augmented Generation). - Model optimization (quantization, pruning, distillation). - Dataset design, augmentation, and curation. - Excellent organization and reproducibility practices. Key Responsibilities: - Research, design, and prototype novel ML solutions using modern architectures. - Build and maintain efficient pipelines for hypothesis testing and rapid iteration. - Design, execute, and track experiments, including hyperparameter sweeps and data variants. - Deploy models to production with CI/CD and model serving frameworks. - Implement monitoring for performance, drift, reliability, and scalability. - Optimize models for inference speed, memory usage, and cost. - Manage the full data lifecycle: creation, augmentation, curation, and quality assurance. - Apply state‑of‑the‑art techniques, especially in LLM and transformer-based models. Required Skills: - Programming: Python, PyTorch. - Deep learning frameworks: PyTorch, TensorFlow (optional). - Hyperparameter optimization: Optuna, Ray Tune. - Experiment tracking: MLflow, Weights & Biases. - MLOps tools: Docker, Kubernetes, CI/CD pipelines, model serving (e.g., TorchServe). - Performance monitoring: Prometheus, Grafana, model monitoring suites. - Optimization techniques: quantization (e.g., bitsandbytes), pruning, knowledge distillation. - LLM methods: fine‑tuning, prompt engineering, Retrieval‑Augmented Generation. - Data engineering: dataset creation, augmentation, curation. Required Education & Certifications: - Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related technical field.
Canada
Remote
Junior
26-02-2026
Company background Company brand
Company Name
ExaCare AI
Job Title
Senior Software Engineer
Job Description
**Job Title:** Senior Software Engineer **Role Summary:** Lead the full‑cycle design, implementation, and maintenance of a scalable health‑tech platform that converts unstructured admission data into actionable insights. Own end‑to‑end features, from React user interfaces to RESTful APIs and background services, ensuring zero‑downtime releases and high reliability. **Expectations:** - Own all shipped code and maintain production‑grade quality. - Rapidly learn and adopt new technologies. - Prioritize and triage incidents efficiently. **Key Responsibilities:** - Design, develop, and deploy production‑ready React screens and TypeScript APIs. - Write efficient PostgreSQL queries and build scalable distributed services on AWS. - Create internal tools: dashboards, feature‑flag systems, CI/CD pipelines, and automation scripts. - Prototype, iterate, and launch new admission flow features and AI‑driven capabilities. - Collaborate with cross‑functional teams, translating technical concepts for non‑technical stakeholders. - Maintain comprehensive automated test suites (unit, integration, end‑to‑end). - Ensure zero‑downtime releases and high system reliability. **Required Skills:** - 5+ years of engineering experience in highly scalable distributed systems. - Proficiency in TypeScript, React, Node/Express (or equivalent), and PostgreSQL. - Hands‑on experience with AWS services (EC2, RDS, Lambda, etc.). - Strong knowledge of automated testing frameworks and continuous integration. - Familiarity with LLMs or AI inference pipelines. - Excellent debugging, incident triage, and problem‑solving abilities. - Clear, concise communication with cross‑functional teams. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Software Engineering, or related technical field. - AWS certifications (Developer/Architect) or equivalent are a plus.
New york, United states
On site
Senior
02-03-2026