Company: FORM │ Virtual obesity medicine clinic
Salary: Not provided
Location: , United States
• Manage and grow a team of full-stack engineers shipping AI-powered workflows for patients and providers. • Guide development of agentic experiences using LLMs and AI-assisted workflows (via platforms such as AWS Bedrock) that support care plan adherence, clinical decision support, patient engagement, and provider efficiency. • Ensure AI features always keep a human-in-the-loop, honoring our core value Put Patients First by designing systems that amplify clinical judgment—not replace it. • Instill best practices for AI safety, guardrails, evaluation, monitoring, and responsible deployment. • Partner with clinicians and product leaders to translate emerging cardiometabolic care needs (diabetes, hypertension, obesity, metabolic risk) into actionable engineering work. • Build backend services and tools that automate care delivery, streamline clinical workflows, and enable longitudinal patient support. • Develop scalable systems that support the growth of new care programs while integrating seamlessly with Form Health’s existing platform. • Build and evolve backend services and APIs using Ruby on Rails, Node.js, and GraphQL to support scalable, secure, and maintainable care delivery workflows. • Uphold a culture of small-batch iteration, safe rollouts, feature-flagged releases, progressive delivery, and continuous improvement. • Ensure reliability and operational excellence and tech debt management. • Collaborate with engineering leaders to establish architectural patterns that balance rapid iteration with long-term maintainability. • Guide teams building and operating services on AWS, including EKS and Lambda, with an emphasis on reliability, observability, and safe deployment practices. • Support web and mobile experiences built with React, Next.js, React Native, and TypeScript, ensuring architectural consistency across the platform. • Work closely with product, design, clinical, and operations partners to define roadmaps that deliver measurable patient and provider value. • Translate complex requirements into simple, iterative milestones that deliver value early and often. • Provide clarity and structure in ambiguous problem spaces—whether designing new AI-assisted workflows or refining clinical tools. • Coach and mentor engineers in both technical execution and cross-functional leadership. • Create growth opportunities through thoughtful delegation, feedback, and collaborative planning. • Foster a culture grounded in empathy, ownership, and mission alignment.
• Managing and growing full-stack engineering teams • Contributing hands-on to architecture, code, and reviews • Delivering AI/LLM-powered features with human-in-the-loop safety • Working in or alongside healthcare or other regulated environments • Applying engineering best practices—small-batch iteration, feature flags, safe rollouts, continuous improvement, and thoughtful tech debt management • Working closely with product and senior leadership to shape strategy and roadmap • Communicating clearly across technical and clinical stakeholders and leading with empathy and ownership
• Competitive salary and equity in a high growth start-up • Comprehensive health benefits (medical, dental, vision) • 401k program • Flexible work schedules and paid time off • Paid parental leave
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