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- Tasks: Design and develop cutting-edge AI products that impact millions in HealthTech.
- Company: Join a leading HealthTech start-up with a collaborative and supportive culture.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Exciting opportunity to work with brilliant minds in a dynamic environment.
- Why this job: Be part of an innovative team shaping the future of AI in healthcare.
- Qualifications: Experience in AI/ML, Python, and strong collaboration skills required.
The predicted salary is between 60000 - 80000 £ per year.
We are working with an industry-leading HealthTech start-up who are building a state of the art, real-time AI agent. To assist them in this genuinely exciting phase of growth, they’re looking for an experienced AI Engineer to join them on a permanent basis.
As an AI Engineer, you will be hands-on and work across end-to-end design, development, architecture and optimization of multi-agent LLM systems. This role will require advanced reasoning approaches, RAG Engineering and evaluation-driven development in order to ship production-grade Python services with strict latency requirements.
The business is working on real-time AI agent technology within the HealthTech space that has the ability to impact millions across Europe. They have a very collaborative and supportive work environment, where you will work alongside some brilliant minds!
Key experience and skills required:
- Experience in building production grade, AI products within start-ups
- Expertise with Python services using FastAPI/Pydantic
- 3 years’ AI/ML experience
- Excellent collaboration and communication skills
For further information and immediate consideration, please get in touch.
AI Engineer in Chesterfield employer: Stott and May
Contact Detail:
Stott and May Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer in Chesterfield
✨Tip Number 1
Network like a pro! Reach out to people in the HealthTech space, especially those working on AI products. Use LinkedIn or industry events to connect and chat about your passion for AI engineering.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those using Python and FastAPI. This will give potential employers a taste of what you can do and how you think.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your experience with multi-agent systems and how you've tackled challenges in past projects.
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for talented individuals like you to join our team. It’s a great way to get noticed and show your enthusiasm for the role.
We think you need these skills to ace AI Engineer in Chesterfield
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Engineer role. Highlight your experience with Python, FastAPI, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for AI and HealthTech, and explain why you’re excited about this opportunity. Let us know how you can contribute to our mission of impacting millions.
Showcase Your Projects: If you've worked on any AI products or projects, make sure to mention them! We love seeing real examples of your work, especially if they demonstrate your ability to build production-grade services.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Stott and May
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI and ML concepts, especially those related to multi-agent systems and real-time applications. Be ready to discuss your previous projects and how you've tackled challenges in building production-grade AI products.
✨Show Off Your Python Skills
Since the role requires expertise in Python, particularly with FastAPI and Pydantic, prepare to demonstrate your coding skills. You might be asked to solve a problem or even write some code during the interview, so practice coding challenges beforehand!
✨Collaboration is Key
This company values collaboration, so be prepared to talk about your experience working in teams. Share examples of how you've communicated effectively with colleagues and contributed to a supportive work environment.
✨Ask Smart Questions
At the end of the interview, don’t forget to ask insightful questions about the company's AI projects and their future direction. This shows your genuine interest in the role and helps you gauge if it's the right fit for you.