At a Glance
- Tasks: Develop advanced AI agents to revolutionise engineering workflows in various industries.
- Company: Physics X, a leader in innovative AI solutions.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and impact.
- Why this job: Join a cutting-edge team and tackle complex engineering challenges with AI.
- Qualifications: 3+ years in Applied AI or ML Engineering, proficient in Python and Kubernetes.
The predicted salary is between 60000 - 80000 € per year.
Physics X is looking for a Senior Applied AI Engineer to develop advanced AI agents that transform engineering workflows across industries like Manufacturing and Aerospace. In this role, you'll collaborate closely with product teams and domain experts to build solutions that address complex engineering challenges.
The right candidate will have a minimum of 3 years of experience in Applied AI or ML Engineering and a strong proficiency in tools like Python and Kubernetes.
Senior AI Agentic Engineer - Production-Ready Workflows in London employer: Physics X
At Physics X, we pride ourselves on being an exceptional employer that fosters innovation and collaboration in the field of AI engineering. Our vibrant work culture encourages continuous learning and professional growth, offering employees the chance to work on cutting-edge projects in a dynamic environment. Located at the heart of the tech industry, we provide unique opportunities to engage with leading experts and contribute to transformative solutions in manufacturing and aerospace.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Agentic Engineer - Production-Ready Workflows in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working in AI and engineering. 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 in Applied AI or ML Engineering. This is your chance to demonstrate your expertise with Python and Kubernetes in a way that words on a CV just can’t.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to AI and engineering workflows. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Senior AI Agentic Engineer - Production-Ready Workflows in London
Some tips for your application 🫡
Show Off Your Experience:Make sure to highlight your 3+ years of experience in Applied AI or ML Engineering. We want to see how you've tackled complex engineering challenges in the past, so don’t hold back!
Tailor Your Application:When applying, customise your CV and cover letter to reflect the specific skills mentioned in the job description, like your proficiency in Python and Kubernetes. This shows us you’re serious about the role!
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so make sure your achievements and experiences are easy to read and understand.
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 us!
How to prepare for a job interview at Physics X
✨Know Your AI Stuff
Make sure you brush up on your knowledge of applied AI and machine learning. Be ready to discuss specific projects you've worked on, especially those involving Python and Kubernetes. This will show that you not only understand the theory but also have practical experience.
✨Understand the Industry
Since Physics X operates in sectors like Manufacturing and Aerospace, do some research on current trends and challenges in these industries. Being able to speak intelligently about how AI can solve real-world problems will impress your interviewers.
✨Collaborative Mindset
This role involves working closely with product teams and domain experts. Prepare examples of how you've successfully collaborated in the past. Highlight your communication skills and ability to work in a team, as this is crucial for the position.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the specific engineering challenges they face or how they envision the role evolving. This shows your genuine interest in the position and helps you gauge if it's the right fit for you.