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For Companies At a Glance
- Tasks: Build cutting-edge AI systems that transform healthcare communication and workflows.
- Company: Join a fast-growing AI healthcare company with a collaborative and innovative culture.
- Benefits: Competitive salary, equity, free team dinners, and a vibrant in-person work environment.
- Why this job: Make a real impact on patient care by developing autonomous healthcare agents.
- Qualifications: 4+ years in software engineering, expertise in Python, and cloud infrastructure experience.
- Other info: Work closely with founders and shape the future of healthcare technology.
The predicted salary is between 36000 - 60000 ÂŁ per year.
About Linda AI
Healthcare runs on conversations - scheduling, intake, triage, refills, follow-ups. But humans are drowning in them. Linda AI builds autonomous healthcare agents that handle these workflows end-to-end, over voice, with the reliability and context clinical environments demand. Our agents don’t just “talk.” They understand, reason, remember, and take action inside real healthcare systems. Clinics rely on Linda every day for patient communication, operational execution, and workflow automation at scale. We’re backed by top-tier investors, and we’re growing quickly across the UK.
Our Culture
- We win as a team: We move together, communicate openly, and expect everyone to raise the bar for each other.
- We build at the frontier: We operate where real-time voice, distributed systems, and agent reasoning intersect - a place where the challenges are hard and the impact is immediate.
- We move fast and work hard: We ship quickly, we iterate directly with customers, and we hold ourselves to a high standard because patients and clinicians rely on us.
- We have strong points of view: We expect engineers to think deeply, bring perspective, and help shape how autonomous agents should work in the real world.
We work in person every day from our London or Dublin office - high bandwidth, high trust.
The Role
This is an opportunity to build the foundational systems of a frontier AI company. You’ll work across our voice layer, agent orchestration, and deep healthcare integrations. You’ll design and ship systems that must be fast, reliable, observable, and safe, because real patients depend on them. If you want to build AI that thinks, decides, and takes real-world action - this is the place to do it.
You will:
- Architect and build core backend systems powering our agents
- Own integrations with real clinical systems and scheduling platforms
- Improve performance, reliability, and observability across the platform
- Contribute to agent reasoning flows, memory layers, and workflow design
- Collaborate directly with founders, product, and customers
- Shape our engineering culture and long-term technical direction
What You've Done
- 4+ years of professional software engineering experience
- Deep expertise in Python and a track record of owning systems end-to-end
- Experience with cloud infrastructure and infrastructure as code
- Shipped and operated production systems
- Comfortable with pace, ambiguity, and high ownership
- Strong problem-solving and architectural thinking
- Product-minded — you think about how systems will be used, not just how they’re built
Our Tech Stack
We're building with tools that both humans and AI love:
- Frontend: React
- Backend: Python and Fast API
- Cloud: AWS
And always on the lookout for what’s next!
What We Offer
- Competitive salary + meaningful equity
- In-person culture in London or Dublin
- Free team dinners every evening
- A senior, focused, high-output team
- The chance to build foundational technology that directly affects patient access and clinic operations
- Immediate impact — your work goes into production and touches real patients within days, not months
Join Us
If this sounds like the environment where you’d do the best work of your career, we want to meet you. Send us your CV, something you’re proud of — a project, repo, or even a story — and a short note on why Linda resonates with you. Let’s build the future of healthcare together.
Senior Software Engineer in London employer: Linda AI
Contact Detail:
Linda AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Software Engineer in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Linda AI on LinkedIn or other platforms. Ask them about their experiences and share your passion for the role. This can give you insider info and might just get your foot in the door.
✨Tip Number 2
Prepare for the interview by diving deep into their tech stack. Brush up on Python, Fast API, and AWS. Show us that you’re not just a coder but someone who understands how these tools impact real-world healthcare solutions.
✨Tip Number 3
Don’t just talk about your past projects; bring them to life! Be ready to discuss specific challenges you faced and how you overcame them. We love seeing problem-solving skills in action, especially in high-stakes environments.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows us you’re genuinely interested in being part of our team and culture. Let’s build the future of healthcare together!
We think you need these skills to ace Senior Software Engineer in London
Some tips for your application 🫡
Craft a Compelling CV: Your CV is your first impression, so make it count! Highlight your experience with Python and any relevant projects that showcase your skills in building systems end-to-end. Remember, we want to see how you think about product usage, not just the technical details.
Showcase Your Passion: In your application, include a short note on why Linda resonates with you. We love seeing candidates who are genuinely excited about our mission to improve healthcare through AI. Share what drives you and how you see yourself contributing to our team!
Include Relevant Projects: Don’t forget to attach something you’re proud of, whether it’s a project, a GitHub repo, or even a story about a challenge you overcame. This gives us insight into your problem-solving skills and how you approach real-world issues.
Apply Through Our Website: We encourage you to apply directly through our website. It streamlines the process for us and ensures your application gets the attention it deserves. Plus, it’s the best way to stay updated on your application status!
How to prepare for a job interview at Linda AI
✨Know Your Tech Stack
Make sure you’re well-versed in Python, Fast API, and AWS. Brush up on your knowledge of cloud infrastructure and be ready to discuss how you've used these technologies in past projects. This will show that you can hit the ground running.
✨Understand the Company Culture
Familiarise yourself with Linda AI's values around teamwork, intensity, and momentum. Be prepared to share examples of how you’ve collaborated effectively in a team and how you handle fast-paced environments. This will demonstrate that you’re a good cultural fit.
✨Prepare for Problem-Solving Questions
Expect to tackle some architectural thinking and problem-solving scenarios during the interview. Think about challenges you've faced in previous roles and how you approached them. This will highlight your critical thinking skills and ability to work under pressure.
✨Show Your Product Mindset
Be ready to discuss how you think about systems from a user perspective, not just a technical one. Share insights on how your work impacts end-users, especially in healthcare settings. This will illustrate your understanding of the real-world applications of your engineering skills.
