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- Tasks: Build and deploy innovative agentic AI systems while collaborating with diverse teams.
- Company: Leading AI technology firm in the UK with a focus on innovation.
- Benefits: Competitive salary, flexible work environment, and opportunities for growth.
- Why this job: Join a cutting-edge team and make a real impact in AI development.
- Qualifications: Experience with agentic platforms and LLM tooling; a builder’s mindset is essential.
- Other info: Dynamic workplace with a strong emphasis on collaboration and creativity.
The predicted salary is between 36000 - 60000 £ per year.
An innovative AI technology firm in the United Kingdom is seeking an Agentic AI Engineer. You will build and deploy cutting-edge agentic AI systems and collaborate across teams to drive quality and scale.
The ideal candidate has hands-on experience with agentic platforms, LLM tooling, and a builder’s mindset. If you are passionate about developing real agentic systems, we encourage you to apply.
Competitive salary and flexible work environment offered.
Agentic AI Engineer: Build Production-Ready Agents employer: Vertex Agility
Contact Detail:
Vertex Agility Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Agentic AI Engineer: Build Production-Ready Agents
✨Tip Number 1
Network like a pro! Reach out to folks in the AI space, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to agentic AI systems. This could be anything from GitHub repos to case studies. It’s a great way to demonstrate your hands-on experience and builder’s mindset.
✨Tip Number 3
Prepare for those interviews! Research common questions for AI roles and practice your responses. Be ready to discuss your experience with LLM tooling and how you've tackled challenges in previous projects.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications directly from candidates who are passionate about building production-ready agents. It shows initiative and gives us a chance to see your enthusiasm firsthand.
We think you need these skills to ace Agentic AI Engineer: Build Production-Ready Agents
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for agentic AI shine through! We want to see that you’re genuinely excited about building and deploying cutting-edge systems.
Highlight Relevant Experience: Make sure to showcase any hands-on experience you have with agentic platforms and LLM tooling. We love seeing how your background aligns with what we do at StudySmarter!
Be Clear and Concise: Keep your application clear and to the point. We appreciate well-structured applications that get straight to the heart of your skills and experiences without unnecessary fluff.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity.
How to prepare for a job interview at Vertex Agility
✨Know Your Tech Inside Out
Make sure you’re well-versed in the latest agentic platforms and LLM tooling. Brush up on your technical skills and be ready to discuss specific projects where you've built or deployed AI systems. This will show your passion and hands-on experience.
✨Showcase Your Collaboration Skills
Since the role involves working across teams, prepare examples of how you've successfully collaborated in the past. Think about times when you drove quality and scale through teamwork, and be ready to share those stories during the interview.
✨Emphasise Your Builder’s Mindset
The company is looking for someone with a builder’s mindset, so come prepared to discuss your approach to problem-solving and innovation. Share instances where you’ve taken initiative to create or improve systems, demonstrating your proactive attitude.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s current projects and future goals in AI. This not only shows your interest but also helps you gauge if the company aligns with your own values and aspirations in the field of agentic AI.
