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- Tasks: Design and operate real-time AI agent systems using cutting-edge technology.
- Company: Leading healthtech company with a focus on innovation.
- Benefits: Fully remote role, collaborative team, and opportunities for professional growth.
- Why this job: Join a senior technical team and work on groundbreaking AI technology.
- Qualifications: 5+ years in backend engineering, expertise in Python and FastAPI.
- Other info: Immediate consideration for interested candidates.
The predicted salary is between 43200 - 72000 £ per year.
A leading healthtech company is seeking an experienced AI Engineer to design and operate cutting-edge real-time AI agent systems. The ideal candidate will have over 5 years of experience in backend engineering, particularly with Python and FastAPI, and expertise in low-latency systems. This fully remote role offers a collaborative environment with a senior technical team and opportunities to work on innovative AI technology. Interested candidates should send their CVs to receive immediate consideration.
Remote AI Engineer — Real-Time LLM Systems Lead employer: Stott and May
Contact Detail:
Stott and May Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote AI Engineer — Real-Time LLM Systems Lead
✨Tip Number 1
Network like a pro! Reach out to your connections in the healthtech and AI space. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and FastAPI. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on low-latency systems. We recommend practicing coding challenges and system design questions to impress the senior tech team.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen quickly, and we’re always on the lookout for talented individuals like you.
We think you need these skills to ace Remote AI Engineer — Real-Time LLM Systems Lead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in backend engineering, especially with Python and FastAPI. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Showcase Your Experience: With over 5 years of experience required, it’s crucial to detail your past roles and achievements. We love seeing specific examples of how you've tackled low-latency systems or contributed to real-time AI projects.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon unless it’s necessary. Make it easy for us to see why you’re a great fit for the team!
Apply Through Our Website: To ensure your application gets the attention it deserves, please apply through our website. This way, we can process your application quickly and get back to you sooner!
How to prepare for a job interview at Stott and May
✨Know Your Tech Inside Out
Make sure you brush up on your Python and FastAPI skills. Be ready to discuss your past projects in detail, especially those involving low-latency systems. The more you can demonstrate your technical expertise, the better!
✨Showcase Your Problem-Solving Skills
Prepare to tackle some real-time scenarios during the interview. Think about how you would approach designing an AI agent system under tight constraints. This will show them that you can think on your feet and handle challenges effectively.
✨Emphasise Collaboration
Since this role is fully remote, highlight your experience working in collaborative environments. Share examples of how you've successfully worked with teams across different locations, as this will be crucial for their senior technical team.
✨Ask Insightful Questions
Prepare a few thoughtful questions about the company's AI technology and future projects. This not only shows your interest but also gives you a chance to assess if the company aligns with your career goals.
