Chief Technology Officer

Job Title: Chief Technology Officer Location: Remote United States Compensation: Up to $400,000 base salary About the Company Our client is an award-winning, healthcare technology company transforming how chronic and remote care is delivered across the United States. Trusted by 2,000+ providers and supporting 150,000+ patients nationwide, they deliver AI-enabled care management solutions, including Remote Patient Monitoring (RPM) and Chronic Care Management (CCM), that measurably improve outcomes, reduce costs, and close care gaps. The company is HIPAA and SOC 2 Type II compliant, integrates with 50+ EMR systems. The Role This is not a traditional CTO hire. We're looking for a hands-on AI agent builder, someone who writes code daily, ships production AI systems, and can architect the next generation of autonomous clinical care agents, while carrying the CTO title and owning the full technology vision. The company sits on a goldmine of real-time patient data (vitals, device telemetry, EMR records, clinical notes) flowing from 150,000+ monitored patients. The opportunity is to build intelligent agents that act on that data: triaging alerts, predicting deterioration, automating care coordination workflows, and augmenting clinical decision-making at scale. You'll be building this largely from scratch with a small, high-caliber team. What You'll Build Autonomous Clinical Agents: Design and ship AI agents that monitor patient data streams in real time, escalate intelligently, and automate care coordination tasks that today require manual clinical effort. LLM-Powered Workflows: Build agent pipelines using large language models for clinical note summarization, patient communication, care plan generation, and intelligent triage. Predictive & Preventive Models: Develop and deploy models for risk stratification, readmission prediction, and early deterioration detection across chronic disease populations. Agent Orchestration: Architect multi-agent systems that coordinate across data ingestion, clinical reasoning, provider notification, and patient engagement, with appropriate human-in-the-loop safeguards for healthcare. Data Infrastructure: Build the real-time data pipelines and feature stores that feed your agents, patient vitals from connected devices, EMR data via HL7/FHIR, and unstructured clinical documentation. EMR Integration Layer: Extend and harden integrations across 50+ EMR/EHR systems to ensure agents can read from and write back to provider workflows seamlessly. Who You Are You ship AI systems, not slide decks. You're writing Python/TypeScript daily, prototyping agent architectures, and pushing to production. You've built and deployed LLM-based agents, RAG pipelines, or autonomous workflows in a production environment. 5-10+ years in software engineering, with recent deep focus on applied AI/ML and agent systems (LangChain, AutoGen, CrewAI, custom agent frameworks, or similar). Fluent in the modern AI stack: LLMs (GPT-4, Claude, open-source models), vector databases, embedding pipelines, function calling, tool use, prompt engineering, fine-tuning. Strong software engineering fundamentals, you build reliable, observable, production-grade systems, not just notebooks. Experience with real-time data pipelines and event-driven architectures (Kafka, streaming, webhooks). Healthcare experience is a major plus, familiarity with HIPAA, HL7/FHIR, clinical workflows, and the sensitivity required when AI touches patient care. Comfortable leading a small engineering team (4–6 today) while staying deep in the code. You'll hire and mentor, but this is at least 60–70% hands-on for the foreseeable future. You understand the stakes of AI in healthcare, you think carefully about safety, hallucination mitigation, human-in-the-loop design, and regulatory constraints. Nice to Have Experience with IoT / connected medical devices and wearable data streams. Background in population health, chronic disease management, or clinical decision support. Prior experience at a startup where you were the first or primary AI/ML hire and built the function from zero. Familiarity with FDA software guidance (SaMD) or clinical AI validation frameworks. What's on Offer CTO title with true technical ownership, you define the AI roadmap and build it yourself. Greenfield opportunity to build the AI/agent layer on top of a platform with proven product-market fit and massive real-time clinical data. Mission-driven work, your agents will directly improve health outcomes for underserved populations. Competitive compensation package including equity. Interested? Apply below!