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- Tasks: Create advanced AI agents to enhance engineering workflows and client operations.
- Company: Join a deep-tech company at the forefront of AI innovation.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a significant impact by driving product strategy in cutting-edge AI projects.
- Qualifications: 3+ years in applied AI or ML, strong Python skills, and teamwork abilities.
- Other info: Dynamic work environment with excellent career advancement potential.
The predicted salary is between 36000 - 60000 £ per year.
A deep-tech company is seeking a Senior Applied AI Engineer to create AI agents for engineering workflows. You will build advanced agentic functionalities that integrate deeply into client operations.
Ideal candidates have 3+ years of experience in applied AI or ML engineering, expertise in Python, and the ability to collaborate with domain experts. The role involves driving product strategy, improving existing tools, and requires a strong foundation in engineering principles.
Senior Applied AI Engineer - Agentic Workflows in London employer: Physicsx
Contact Detail:
Physicsx Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Applied AI Engineer - Agentic Workflows in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and engineering space on LinkedIn or at industry events. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in applied AI or ML. We recommend including any relevant code samples or case studies that highlight your expertise in Python and agentic functionalities.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss how you’ve driven product strategy in past roles. We suggest practising common interview questions related to AI and engineering principles.
✨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 are proactive about their job search!
We think you need these skills to ace Senior Applied AI Engineer - Agentic 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 your background aligns with the role, so don’t hold back on showcasing your skills and projects!
Python is Key: Since expertise in Python is a must-have, be sure to mention any relevant projects or tools you've developed using Python. We love seeing practical examples of your coding prowess!
Collaboration is Crucial: This role involves working closely with domain experts, so share any experiences where you’ve successfully collaborated with others. We’re looking for team players who can drive product strategy together!
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 Physicsx
✨Know Your AI Inside Out
Make sure you brush up on your applied AI and machine learning concepts. Be ready to discuss your past projects in detail, especially those that involved creating AI agents or improving workflows. This will show your depth of knowledge and experience.
✨Showcase Your Python Skills
Since expertise in Python is crucial for this role, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice common algorithms and data structures in Python beforehand.
✨Collaborate Like a Pro
This position requires collaboration with domain experts, so be prepared to discuss how you've worked in teams before. Share examples of how you’ve successfully communicated complex technical ideas to non-technical stakeholders.
✨Understand the Company’s Vision
Research the company’s products and their approach to AI. Understanding their product strategy will help you align your answers with their goals and demonstrate your genuine interest in contributing to their mission.