Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and implement cutting-edge AI systems with a focus on agentic AI.
- Company: Leading tech firm in the UK with a collaborative culture.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Why this job: Join impactful projects and shape the future of AI technology.
- Qualifications: Experience in Python, machine learning libraries, and a passion for AI innovations.
- Other info: Fast-paced environment with excellent career advancement opportunities.
The predicted salary is between 43200 - 72000 £ per year.
A leading tech firm in the UK is seeking talented AI Engineers at Senior and Mid-level. The role involves designing and implementing AI systems with a strong focus on agentic AI. Candidates will work on impactful projects in a collaborative environment, handling responsibilities such as building scalable data pipelines and developing intelligent agents.
Ideal candidates should be experienced in Python, machine learning libraries, and have a curiosity about AI innovations. This role offers a superb opportunity in a fast-paced industry.
Agentic AI Engineer (Senior/Mid) - Build Production AI employer: Sanderson
Contact Detail:
Sanderson Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Agentic AI Engineer (Senior/Mid) - Build Production AI
✨Tip Number 1
Network like a pro! Reach out to folks in the AI community on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving agentic AI and scalable data pipelines. 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 Python and machine learning knowledge. Practice common interview questions and be ready to discuss your past projects in detail. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities waiting for talented AI Engineers like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Agentic AI Engineer (Senior/Mid) - Build Production AI
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for AI shine through! Share any personal projects or experiences that highlight your curiosity and commitment to the field. We love seeing candidates who are genuinely excited about innovations in AI.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for the Agentic AI Engineer role. Highlight your experience with Python and machine learning libraries, and don’t forget to mention any relevant projects you've worked on. We want to see how your skills align with what we’re looking for!
Be Clear and Concise: Keep your application clear and to the point. Use bullet points where possible to make it easy for us to read through your qualifications and experiences. Remember, we appreciate a well-structured application that gets straight to the good stuff!
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’re considered for the role. Plus, it gives you a chance to explore more about our company culture and values!
How to prepare for a job interview at Sanderson
✨Know Your AI Stuff
Make sure you brush up on your knowledge of agentic AI and the latest innovations in the field. Be ready to discuss specific projects you've worked on, especially those involving Python and machine learning libraries. This shows your passion and expertise!
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've tackled challenges in previous roles. Think of examples where you built scalable data pipelines or developed intelligent agents. Use the STAR method (Situation, Task, Action, Result) to structure your answers clearly.
✨Collaborative Spirit is Key
Since the role involves working in a collaborative environment, be ready to share experiences where teamwork made a difference. Highlight how you communicate with others and contribute to group projects, as this will resonate well with the interviewers.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company's approach to AI and their current projects. This not only shows your interest but also helps you gauge if the company aligns with your career goals. Plus, it makes for a great conversation starter!
