AI Engineer (Healthcare Systems)

This role is open to candidates based in LATAM, Africa, and Eastern Europe. Please note that as this role supports U.S.-based clients, candidates must be available to work during U.S. business hours aligned with the client’s time zone. Client Overview Our client is a growing, multi-location medical aesthetics company focused on delivering high-quality services while continuously improving its operational infrastructure. As the organization expands across multiple locations, it is investing in AI, automation, and connected systems to reduce manual work, improve reporting, and create more scalable business processes. Role Overview As an AI Engineer (Healthcare Systems) , you will design, build, deploy, and optimize AI-powered workflows and automation systems across the organization. This is a hands-on, execution-focused role that combines AI implementation, workflow automation, systems integration, and operational problem-solving. You will work closely with leadership to identify inefficiencies, prioritize automation opportunities, connect existing software platforms, and implement solutions that improve efficiency and visibility across the business. The ideal candidate is highly autonomous, technically capable, and comfortable owning projects from initial problem identification through implementation and optimization. Location Fully Remote | 9:00 AM - 5:00 PM PST Key Responsibilities AI Agents & Workflow Development Design and deploy AI-powered agents for internal operations and potential customer-facing use cases. Build AI workflows using platforms and APIs such as OpenAI and Claude. Develop and optimize prompt logic based on specific business requirements. Monitor agent performance and continuously refine workflows to improve reliability and effectiveness. Identify practical opportunities to incorporate AI into existing business processes. Process Automation & Systems Integration Analyze workflows across departments to identify repetitive or inefficient processes that can be automated. Build scalable automations using platforms such as Make, Zapier, or n8n. Connect CRM, scheduling, reporting, and other operational systems into integrated workflows. Use APIs and webhooks to enable reliable data exchange between platforms. Troubleshoot integration and automation issues and implement sustainable solutions. Continuously optimize existing automations as business requirements evolve. Reporting & Data Infrastructure Develop automated reporting systems and dashboards for key business metrics. Build workflows that consolidate data from multiple platforms and locations. Ensure data is accurately and consistently synchronized across connected systems. Improve visibility into performance across locations, services, teams, and other relevant areas of the business. Identify opportunities to reduce manual reporting through automation. Strategic Implementation & Optimization Partner with leadership to identify and prioritize high-impact AI and automation initiatives. Develop and execute a 6–12 month roadmap for AI and automation implementation. Translate operational challenges into practical technical solutions. Evaluate emerging AI and automation technologies for potential business applications. Proactively identify inefficiencies and recommend scalable solutions. Continuously improve existing systems based on performance and evolving business needs. Qualifications Experience 3–6+ years of experience in automation, systems integration, technical operations, or related roles. Proven experience building and deploying workflows using Make, Zapier, n8n, or similar automation platforms. Hands-on experience implementing AI tools and APIs such as OpenAI, Claude, or comparable technologies. Experience integrating multiple software platforms and operational systems. Experience independently owning technical or automation projects from concept through deployment. Skills Demonstrates a strong understanding of APIs, webhooks, and systems integration and can use them to create reliable connections between business platforms. Has hands-on experience with Make, Zapier, n8n, or similar workflow automation platforms and can build scalable automations that reduce manual work. Is comfortable working with OpenAI, Claude, or similar AI tools and APIs to develop practical AI agents, prompt logic, and automated workflows. Has experience connecting CRM platforms, scheduling systems, reporting tools, and other operational software into integrated workflows. Can work with data and reporting systems to automate information flow, maintain data consistency, and improve visibility into business performance. Is familiar with tools such as Airtable, Notion, or similar platforms for organizing operational data and workflows. Can troubleshoot automation failures, integration issues, and inconsistent data flows to identify root causes and implement reliable solutions. Has basic JavaScript or Python scripting knowledge as a plus for situations where additional customization is required beyond no-code or low-code platforms. Mindset & Attributes Systems-oriented with a strong ability to identify inefficiencies and design practical solutions. Highly autonomous and comfortable owning projects end-to-end. Detail-oriented with a focus on building reliable and scalable systems. Proactive about identifying automation opportunities rather than waiting for specific instructions. Adaptable and motivated to continuously learn emerging AI and automation technologies. Strong problem solver who can balance immediate operational needs with long-term scalability. Able to translate technical concepts and solutions into practical business terms for leadership and non-technical stakeholders. What Success Looks Like AI and automation systems significantly reduce repetitive manual work across the organization. Business platforms are reliably connected through scalable integrations. AI agents successfully support practical internal and customer-facing workflows. Reporting systems provide reliable and timely visibility into business performance. Data remains accurate and consistent across connected platforms. High-impact automation initiatives are prioritized and successfully implemented. Existing workflows continue to improve as the organization grows. Leadership sees measurable improvements in operational efficiency and scalability. Opportunity This is an opportunity to play a key role in building the AI and automation infrastructure of a growing multi-location business. You will have significant ownership over how systems are designed, connected, and improved while working directly with leadership to identify high-impact opportunities. For someone who enjoys building systems, solving complex operational challenges, and applying AI to practical business problems, this role offers the autonomy to make a measurable impact from day one. Application Process: To be considered for this role these steps need to be followed: Fill in the application form Record a video showcasing your skill sets