Jobs at Doctronic

Lead and grow a product engineering team while contributing production code, guiding architecture, and shipping reliable user-facing products. Partner across product, design, clinical, AI, and operations teams to define priorities and technical solutions. Oversee frontend, backend, integrations, AI workflows, production operations, and coding-agent adoption. Hire and coach engineers, improve delivery quality, evaluate product performance, and uphold patient safety, privacy, security, accessibility, and reliability standards.

Lead and grow the platform engineering team responsible for infrastructure, developer productivity, deployment, observability, reliability, security, and cost optimization. Set technical direction, guide architecture, contribute to production code and automation, improve CI/CD and engineering workflows, build AI-native development tooling, lead incident response, and hire and coach engineers.

Build and launch full-stack patient, clinician, and healthcare partner features across web, mobile, backend, AI, and clinical integrations. Responsibilities include developing workflows, connecting AI consultations to treatment, improving performance, privacy, accessibility, and reliability, using coding agents, automating engineering tasks, and supporting products in production. The role requires strong product judgment, autonomy, cross-functional communication, and the ability to ship across unfamiliar systems.

Own and improve Doctronic’s platform engineering systems across AWS, including production reliability, infrastructure as code, CI/CD, developer environments, observability, security, cost efficiency, and incident response. Build reusable infrastructure, service templates, automation, and agent-ready workflows that enable engineering teams and coding agents to safely deliver software with greater speed and autonomy.

Own paid acquisition strategy and execution across Google, Meta, TikTok, CTV, direct mail, and other channels. Manage campaign structure, budgets, bidding, optimization, experimentation, creative briefs, clinical review, reporting, and incrementality testing. Partner with analytics and marketing engineering teams to measure performance within HIPAA-compliant privacy limits, recommend growth budgets, and diversify the channel mix.

The Senior AI Engineer will develop core AI systems for healthcare, focusing on real-time inference and NLP pipelines, ensuring safety and scalability in medical consultations.