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- Tasks: Develop AI features that enhance clinical workflows and build fullstack solutions.
- Company: Innovative AI healthcare startup focused on transforming medical practices.
- Benefits: Hybrid work model, significant growth opportunities, and a chance to make a real impact.
- Why this job: Join a mission-driven team and revolutionise healthcare with cutting-edge AI technology.
- Qualifications: Medical degree and experience with clinical AI products required.
- Other info: Dynamic environment with opportunities for professional development.
The predicted salary is between 42000 - 84000 £ per year.
An innovative AI healthcare startup is seeking a Mid-level or Senior Fullstack Engineer to develop AI features that enhance clinical workflows. This role requires a medical degree and experience with clinical AI products. You will build fullstack solutions integrating voice AI and ensure their performance in real-world medical settings. The position offers a hybrid work model with significant growth opportunities and the chance to make a meaningful impact in healthcare.
Senior AI Software Engineer - Healthcare (Hybrid) employer: black.ai
Contact Detail:
black.ai Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Software Engineer - Healthcare (Hybrid)
✨Tip Number 1
Network like a pro! Reach out to professionals in the healthcare AI space on LinkedIn or at industry events. We can’t stress enough how personal connections can open doors that applications alone can’t.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your previous projects, especially those related to clinical AI. We want to see your work in action, so don’t hold back on sharing your successes!
✨Tip Number 3
Prepare for interviews by understanding the company’s mission and values. We recommend tailoring your responses to show how your experience aligns with their goals in enhancing clinical workflows through AI.
✨Tip Number 4
Apply directly through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect with us directly.
We think you need these skills to ace Senior AI Software Engineer - Healthcare (Hybrid)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with clinical AI products and fullstack development. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI in healthcare and how your background makes you a perfect fit for our team. Let us know what excites you about this opportunity!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in previous roles, especially in developing AI solutions. We love seeing how you think and approach problems, so share those success stories!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at black.ai
✨Know Your AI Inside Out
Make sure you brush up on your knowledge of AI technologies, especially those relevant to healthcare. Be prepared to discuss specific projects you've worked on that involved clinical AI products, as this will show your expertise and passion for the field.
✨Showcase Your Fullstack Skills
Since the role requires fullstack development, be ready to talk about your experience with both front-end and back-end technologies. Bring examples of how you've integrated different systems or features in past projects, particularly those that enhance clinical workflows.
✨Prepare for Real-World Scenarios
Expect questions about how your solutions would perform in real-world medical settings. Think of scenarios where you had to troubleshoot issues or improve performance, and be ready to share those experiences during the interview.
✨Emphasise Your Medical Knowledge
Given that a medical degree is required, don’t shy away from discussing your medical background. Highlight how your understanding of clinical practices can inform your work in AI, making you a valuable asset to the team.