Senior AI Software Engineer

People In AI is a rapidly growing healthcare technology company seeking a Senior AI Software Engineer to enhance healthcare operations through automation and intelligence. The role involves designing AI-powered workflows, building backend services, and collaborating with various stakeholders to transform complex healthcare processes into efficient systems.

Responsibilities:

• Shadow operational teams and identify high-leverage opportunities for automation across complex healthcare workflows
• Design and build AI-powered workflow automations, backend services, integrations, and internal tools
• Develop agentic systems and intelligent workflows that reduce manual operational workload
• Build APIs, services, and data models that support critical business processes
• Translate healthcare requirements, operational edge cases, and business rules into scalable software systems
• Evaluate existing workflows and determine what should be automated, redesigned, or eliminated entirely
• Partner closely with product, operations, engineering, and executive stakeholders to drive adoption and impact
• Iterate rapidly based on user feedback, operational metrics, and changing business requirements
• Help establish best practices for deploying AI systems within regulated healthcare environments
• Operate as a highly autonomous engineer with significant influence over architecture, implementation, and long-term automation strategy

Requirements:

• Ample software engineering experience across backend, full-stack, platform, automation, or workflow-heavy environments
• Has built production-grade services, APIs, integrations, and scalable backend systems
• Has shipped AI-powered products, agentic workflows, automations, or LLM-enabled applications in production
• Understands the difference between AI prototypes and reliable production systems
• Has experience working with HIPAA-regulated or highly sensitive data environments
• Can gather requirements directly from non-technical stakeholders and drive successful adoption
• Enjoys solving ambiguous problems and taking ownership from concept through production
• Thrives in fast-moving startup environments with high autonomy and limited process overhead