At a Glance
- Tasks: Architect and build AI-driven healthcare systems that make a real difference.
- Company: Innovative tech company transforming healthcare with AI solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Fast-paced environment with a focus on collaboration and innovation.
- Why this job: Join a mission-driven team and shape the future of healthcare technology.
- Qualifications: 5+ years in software engineering, strong Python skills, and experience in scalable architectures.
The predicted salary is between 80000 - 100000 € per year.
We’re building automation systems that enable AI agents to operate like doctors and nurses. As a Principal Software Engineer, you will work directly with hospitals and clinics to deploy production-grade AI systems for patient communication, triage, and secure data processing. This is a hands-on, Python-focused role centered on scaling distributed systems in a high-impact domain.
Responsibilities
- Architect, build, and scale AI-driven healthcare systems (LLMs, RL, agentic workflows).
- Develop secure, low-latency data and communication layers including voice/video.
- Translate ambiguous healthcare requirements into robust, production systems.
- Collaborate with a lean, fast-moving team to ship and iterate quickly.
- Ensure performance, reliability, and clinical accuracy in mission-critical systems.
What We’re Looking For
- 5+ years building complex, production-grade software systems.
- Strong expertise in Python (Go, React, AWS are a plus).
- Experience designing scalable architectures from scratch.
- High ownership, low ego, and comfort operating in fast-paced environments.
- Bonus: background in healthcare, AI/ML, or agentic systems.
Ideal Candidate Traits
- Proven impact: delivered scalable features, led core architecture, or improved performance significantly.
- Startup mindset: autonomous, hands-on, adaptable, strong problem-solver.
- Strong communication and collaboration skills.
- Stable employment history; experience in growing or scaling tech teams is a positive.
Nice-to-Haves
- Healthcare experience.
- Participation in hackathons or open-source.
- Demonstrated ownership and leadership.
Principal Software Engineer in Slough employer: TechTree
As a Principal Software Engineer at our innovative company, you will be part of a dynamic team dedicated to revolutionising healthcare through AI technology. We offer a collaborative work culture that fosters creativity and growth, with ample opportunities for professional development in a fast-paced environment. Located in a vibrant area, our company provides unique advantages such as flexible working arrangements and a commitment to making a meaningful impact on patient care.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Software Engineer in Slough
✨Tip Number 1
Network like a pro! Reach out to folks in the healthcare tech space, especially those who work with AI. Attend meetups or webinars, and don’t be shy about sliding into DMs on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and distributed systems. If you’ve worked on anything related to healthcare or AI, make sure it’s front and centre. This is your chance to shine!
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding of healthcare systems. Practice coding challenges and be ready to discuss how you’ve tackled complex problems in the past. We want to see that startup mindset in action!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search. Let’s get you on board to build some amazing AI-driven healthcare solutions!
We think you need these skills to ace Principal Software Engineer in Slough
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python and distributed systems. We want to see how you've built complex software systems, so don’t hold back on showcasing your achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you're passionate about AI in healthcare and how your skills align with our mission. Keep it engaging and personal – we love a good story!
Showcase Your Impact:When detailing your past roles, focus on the impact you made. Did you lead a project that improved performance? Share those results! We’re looking for candidates who can demonstrate their contributions clearly.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at TechTree
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and any other relevant technologies like Go or AWS. Brush up on your knowledge of distributed systems and AI applications in healthcare, as you’ll likely be asked to discuss how these can be architected and scaled effectively.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of complex problems you've solved in previous roles. Think about times when you had to translate ambiguous requirements into clear, actionable plans, especially in high-pressure environments. This will demonstrate your ability to thrive in a fast-paced setting.
✨Emphasise Collaboration
Since this role involves working closely with hospitals and clinics, highlight your communication and teamwork skills. Be ready to discuss how you’ve collaborated with cross-functional teams to deliver impactful solutions, and how you handle feedback and iterate on projects.
✨Demonstrate Ownership and Impact
Be prepared to talk about your past experiences where you took ownership of projects and led them to success. Share metrics or outcomes that showcase your impact, especially in terms of scalability and performance improvements in software systems.