Responsibilities
- Design, build, and maintain Heidi’s deterministic automation engine for interacting with EHRs without native integrations.
- Build reliable UI-automation flows for accessibility-tree mapping, templated field entry, and structured write-back across web and desktop systems.
- Implement patient-matching and validation logic so data is written to the correct patient record every time.
- Prototype with AI-assisted development tools and harden successful automations into production-grade code.
- Embed with health systems and IT teams during live rollouts to map workflows and close implementation gaps.
- Engineer work queues, retries, idempotency, exception handling, instrumentation, and explainable failure behavior.
- Harden automations against UI drift and edge cases while deciding when automation should be used instead of a native integration.
- Own the tooling and documentation that enable engineers to extend the engine to additional EHRs.
Requirements
- Demonstrated ability to build a tool, script, or automation that solved a real problem for real users, supported by a portfolio, GitHub, or demo.
- Production experience with UI automation using Playwright, accessibility-tree frameworks such as FlaUI, or an RPA platform.
- Python experience as a primary language; C# or TypeScript experience is a bonus.
- Understanding of deterministic systems, including queues, retries, idempotency, and exception handling.
- Experience working with brittle, undocumented, or legacy third-party interfaces.
- Working fluency with LLM APIs and AI-assisted development, including shipped projects using these tools.
- Knowledge of data and application security and strong awareness of safe patient-data handling.
- Comfort working directly with customers and field teams during deployments.
- Experience automating regulated, high-stakes systems such as payments, banking, or healthcare is preferred but not required.
- Low-code-only RPA experience is not sufficient because the role focuses on building the underlying engine.
Benefits
- Equity participation from day one.
- Private medical and dental cover through Bupa, plus mental health, coaching, and wellbeing support through Sonder.
- Paid global parental leave subject to eligibility.
- Fertility support subject to eligibility.
- Annual learning and development budget for courses, books, memberships, and conferences.
- One-off home-office setup budget.
- Recharge days after major milestones and busy periods.
- Ability to work from anywhere for up to four weeks per year.
- Clinical leave for eligible clinical roles.
- Hybrid work environment with three days in the office.
Tech Stack
Categories
About Heidi
Heidi is building an AI Care Partner to expand clinical capacity by supporting every stage of care delivery. In addition to its AI scribe, Heidi has introduced Evidence, giving clinicians access to trusted medical research at the point of care, and Comms, enabling healthcare teams to coordinate patient communications. Heidi supports more than 2.7 million patient interactions each week in 110 languages from 190 countries. Founded in Melbourne, Australia, Heidi has raised $96.6M USD from global investors including Point72 Private Investments, Blackbird, Headline, Phoenix Court's growth fund Latitude, Possible Ventures and Archangel. Heidi aligns with leading international healthcare and privacy frameworks, including NHS requirements, GDPR, HIPAA, and the Australian Privacy Principles, and maintains enterprise-grade security certifications including ISO 27001, SOC 2 Type II, Cyber Essentials Plus, and ISO 42001. Learn more at heidihealth.com