At a Glance
- Tasks: Design and build a cutting-edge automation engine for healthcare systems.
- Company: Join Heidi, a pioneering company transforming healthcare with AI.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team environment focused on innovation and real-world solutions.
- Why this job: Make a real impact in healthcare by enhancing clinician-patient connections.
- Qualifications: Experience in software development, particularly UI automation and Python.
The predicted salary is between 63000 - 77000 £ per year.
We’re Heidi.
We're building the future of healthcare by giving every clinician the earth's finest AI Care Partner.
In just 18 months, our clinical AI products have absorbed the administrative chaos of 73 million patient visits.
Today, we support over 2.5 million patient sessions a week across 190+ countries.
Healthcare systems are failing us; clinicians spend more time on documentation than on patients, and the human connection that makes medicine worth practicing is eroding.
Our mission is simple: double the world’s healthcare capacity and strengthen the human connection at its heart.
We found product-market fit with a freemium medical scribe that clinicians love.
Now, we're expanding.
Every task a clinician hands to Heidi is a patient who feels more attended to, a health system unclogged, and a clinician who gets to be a clinician again.
If you don’t choose easy and you want to build something way bigger than yourself then, choose the challenge, choose Heidi.
THE ROLE
Most EHRs don't offer us an API, so where a direct integration isn't possible, or isn't fast enough for a health system that needs to go live now, we build our own automation engine that works the EHR the way a person would: reading the interface, mapping the fields and pushing structured data into the record.
This is a code-first role, not a low-code studio one.
We looked hard at the vendor RPA platforms and decided against building on someone else's engine as they were either too slow, too fragile for patient data, and we weren't comfortable that they could guarantee determinism.
You'll build and harden ours in-house: the UI-automation layer, the mapping templates and the patient-matching logic that has to be right every single time, because it writes into a real patient record.
AI helps us set automations up fast; deterministic code is what runs in production.
You'll work hands-on with live NHS and private deployments where a native integration isn't on the table yet and automation is the route to going live.
Sometimes that might mean being on site with our Commerical Team, watching how a coding team or clinic actually works rather than how the process doc says they do, and turning what you see into shipped automation within days.
You'll work closely with the Product and Agents teams pushing this capability forward, taking the engine from working in a demo to working unattended, for every customer, at scale.
We know that brilliant people can come from unlikely places; if you have a proven track record of making brittle, opaque systems behave predictably, regardless of industry, we want to meet you.
- What you’ll do
- Design, build, and maintain Heidi's deterministic automation engine for interacting with EHRs that lack a native integration.
- Build UI-automation flows (accessibility-tree mapping, templated field entry, structured write-back) across web and desktop systems that reliably push data into third-party software.
- Implement patient-matching and validation logic so data lands on the correct record every time, with patient data safety as a non-negotiable constraint.
- Prototype with AI-assisted tools like Claude Code and Cursor to ship in days, then harden what works into production-grade code.
- Embed with health systems and their IT teams during live rollouts: map the real workflow on site, close the gaps, get them live.
- Engineer work queues, retries and exception handling so automations run unattended and failures are caught and explainable rather than silent.
- Harden flows against UI drift and edge cases, and decide with Product and Integrations where automation is the right route versus where a native integration should be built instead.
- Treat every automation as a product: instrument runs, measure reliability, and own the tooling and docs that let other engineers extend the engine to new EHRs.
- What you'll need
- Strong sense of ownership & strong problem-solving skills.
- Proof you build: a tool, a script, an automation that solved a real problem for real users. A portfolio, Git Hub or demo you can walk us through beats years on a CV.
- Production experience with UI automation: Playwright, accessibility-tree frameworks like Fla UI, or an RPA platform you've since outgrown.
- Python as your primary language; C# or Type Script alongside it is a bonus.
- Deterministic-systems instincts: queues, retries, idempotency and exception handling, and the discipline to make an automation fail loudly rather than wrongly.
- Comfort with brittle, undocumented or legacy third-party interfaces, and building reliable logic around them.
- Working fluency with LLM APIs and AI-assisted development. You've shipped something with these tools and know where the model helps and where it doesn't.
- Data & application security knowledge, with a serious appreciation for handling patient data safely.
- Comfort working directly with customers and field teams when a deployment needs eyes on the actual workflow.
- Experience automating against regulated, high-stakes systems (payments, banking, healthcare) is a strong signal, not a requirement.
- If your experience lives entirely inside a low-code studio, this probably isn't the fit. We're building the engine, not configuring one.
- How we show up
- Build for the next decade, not next quarter. Our targets are outrageous on purpose. The world's health doesn't have the luxury of incrementalism.
- Lead, don't wait. We treat tomorrow's problems today. Sometimes we build what's needed before it's wanted, and we're fine with that.
- Follow the evidence.
Trust the patient.
We pursue truth relentlessly.
But when the subjective and objective disagree, we treat the patient, not the numbers.
Ego is a comorbidity we can't afford.
- Own the outcome. Everyone here carries the company. Raise problems with solutions, solve them end-to-end, and never be a bystander.
- Ship, measure, go again. A button today, a workflow tomorrow. More iterations beat better planning. We're precise at pace, not reckless.
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Senior Software Engineer - Robotic Process Automation employer: Engg
At Heidi, we are not just building cutting-edge AI solutions for healthcare; we are fostering a vibrant work culture that prioritises innovation and collaboration. As a Senior Software Engineer, you will have the unique opportunity to directly impact patient care while working alongside passionate professionals in a fast-paced environment. With a commitment to employee growth and a mission that resonates with purpose, Heidi is an exceptional employer for those looking to make a meaningful difference in the world of healthcare.
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We think this is how you could land Senior Software Engineer - Robotic Process Automation
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We think you need these skills to ace Senior Software Engineer - Robotic Process Automation
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Engg.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Engg and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Engg
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Engg uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.