At a Glance
- Tasks: Design and deploy applications using Large Language Models for advanced AI workflows.
- Company: Leading global SaaS commerce platform with a focus on innovation.
- Benefits: Competitive salary, comprehensive benefits package, and remote work options.
- Why this job: Join a fast-paced environment and shape the future of AI technology.
- Qualifications: Expertise in Python, AI frameworks, and experience in building agentic applications.
- Other info: Exciting opportunities for career growth in a dynamic tech landscape.
The predicted salary is between 36000 - 60000 Β£ per year.
A leading global SaaS commerce platform is looking for a Senior AI Agent Engineer based in the UK. This role requires expertise in designing and deploying applications that utilize Large Language Models (LLMs) for advanced AI workflows.
Candidates should have a solid background in Python and AI frameworks, along with experience in building agentic applications.
The position offers a competitive salary, benefits package, and the opportunity to work in a fast-paced, innovative environment.
Senior AI Agent Engineer: LLMs & Multi-Agent Systems in Reading employer: Profitero
Contact Detail:
Profitero Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Senior AI Agent Engineer: LLMs & Multi-Agent Systems in Reading
β¨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech community, especially those who work with LLMs. Attend meetups or webinars to make connections that could lead to job opportunities.
β¨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects involving Python and AI frameworks. This will give potential employers a taste of what you can do and set you apart from the crowd.
β¨Tip Number 3
Prepare for interviews by brushing up on common questions related to AI workflows and multi-agent systems. We recommend practising with friends or using mock interview platforms to build your confidence.
β¨Tip Number 4
Donβt forget to apply through our website! Itβs 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 AI Agent Engineer: LLMs & Multi-Agent Systems in Reading
Some tips for your application π«‘
Tailor Your CV: Make sure your CV highlights your experience with Large Language Models and Python. We want to see how your skills align with the role, so donβt be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why youβre passionate about AI and how your background makes you a perfect fit for our team. Let us know what excites you about working with LLMs and multi-agent systems.
Showcase Your Projects: If you've worked on any cool projects involving AI frameworks or agentic applications, make sure to mention them! We love seeing practical examples of your work that demonstrate your expertise and creativity.
Apply Through Our Website: We encourage you to apply directly through our website. Itβs the best way for us to receive your application and ensures you donβt miss out on any important updates from our team!
How to prepare for a job interview at Profitero
β¨Know Your LLMs
Make sure you brush up on your knowledge of Large Language Models. Be prepared to discuss their architecture, applications, and any recent advancements in the field. This will show that you're not just familiar with the technology but are genuinely passionate about it.
β¨Showcase Your Python Skills
Since a solid background in Python is essential for this role, be ready to demonstrate your coding skills. You might be asked to solve a problem or explain your thought process while coding. Practise common algorithms and data structures in Python to ensure you're sharp.
β¨Discuss Agentic Applications
Prepare to talk about your experience in building agentic applications. Have specific examples ready that highlight your role in the design and deployment processes. This will help the interviewers see how your past experiences align with their needs.
β¨Embrace the Fast-Paced Environment
This position is in a fast-paced, innovative environment, so be ready to discuss how you handle pressure and adapt to change. Share examples from your previous roles where you successfully navigated challenges or implemented new ideas quickly.