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- Tasks: Design and develop cutting-edge AI products that impact millions in HealthTech.
- Company: Join an innovative HealthTech start-up with a collaborative culture.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Dynamic environment with the chance to work alongside brilliant minds.
- Why this job: Be part of a team creating real-time AI technology that makes a difference.
- 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 York 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 York
✨Tip Number 1
Network like a pro! Reach out to people in the HealthTech space, especially those working on AI products. Use platforms like LinkedIn to connect and engage with industry professionals; you never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving Python and real-time systems. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as collaboration and communication are key in this role. We want to see how you think and solve problems!
✨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 take that extra step to connect directly with us.
We think you need these skills to ace AI Engineer in York
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and AI products. We want to see how your skills align with the role, so don’t be shy about showcasing your relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re excited about working in HealthTech and how your background makes you a perfect fit for our team. Keep it engaging and personal.
Showcase Your Collaboration Skills: Since we value teamwork, mention any experiences where you’ve successfully collaborated with others. Whether it’s in a start-up or a larger company, we want to know how you work with brilliant minds!
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 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, be prepared to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice coding challenges beforehand to keep your skills sharp.
✨Collaboration is Key
This company values collaboration, so highlight your teamwork experiences. Share examples of how you've worked effectively with others, especially in a start-up environment. Emphasise your communication skills and how you can contribute to a supportive work culture.
✨Prepare for Technical Questions
Expect technical questions that assess your reasoning approaches and evaluation-driven development. Review common interview questions for AI Engineers and think about how you would approach problems related to latency requirements in production systems.