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Heidi Health is building AI-powered clinical automation to reduce administrative burden on healthcare providers. The company has achieved product-market fit with a medical scribe product and now processes over 2.5 million patient sessions weekly across 190+ countries.
As a Senior Software Engineer specializing in RPA (Robotic Process Automation), you will design and build Heidi's deterministic automation engine for Electronic Health Records (EHRs) that lack native API integrations. This is a code-first role focused on building production-grade automation infrastructure rather than configuring low-code platforms.
Key responsibilities include:
- Design and maintain the deterministic automation engine for EHR interactions, ensuring patient data safety as a non-negotiable constraint
- Build UI-automation flows using accessibility-tree mapping and templated field entry across web and desktop systems
- Implement patient-matching and validation logic to ensure data lands on correct records reliably
- Prototype with AI-assisted development tools (Claude, Cursor) to ship rapidly, then harden into production code
- Embed with health systems during live rollouts to map real workflows and close integration gaps
- Engineer robust work queues, retries, and exception handling for unattended automation
- Harden flows against UI drift and edge cases; collaborate with Product on automation vs. native integration decisions
- Instrument runs, measure reliability, and own tooling and documentation for engine extensibility
Required qualifications:
- Strong ownership mindset and problem-solving skills with proven track record of shipping solutions
- Production experience with UI automation (Playwright, FlaUI, or RPA platforms)
- Python as primary language; C# or TypeScript as bonus
- Deep understanding of deterministic systems: queues, retries, idempotency, exception handling
- Comfort with brittle, undocumented, or legacy third-party interfaces
- Working fluency with LLM APIs and AI-assisted development
- Data and application security knowledge, particularly for patient data handling
- Willingness to work directly with customers and field teams during deployments
- Experience automating regulated, high-stakes systems (healthcare, payments, banking) is a strong signal
This role is ideal for engineers who thrive on building deterministic systems in high-stakes environments and want to directly impact healthcare delivery at scale.
