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- Tasks: Design and build AI agent systems to tackle complex tasks in innovative environments.
- Company: Leading design tooling organisation based in London with a focus on cutting-edge technology.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Why this job: Join a dynamic team and shape the future of AI technology.
- Qualifications: 5+ years in software engineering, experience with agent architecture, and advanced educational background preferred.
- Other info: Sponsorship available; excellent career advancement opportunities.
The predicted salary is between 140000 - 160000 £ per year.
An innovative design tooling organisation in London are on the lookout for an AI Agent Engineer for their expanding team to work on developing core agent systems that power their platform.
Role Responsibilities
- Design and build agent systems in order to tackle complex tasks across multimodal environments
- Working on the data flywheel that will improve the agents performance over a long period of time
- Build the infrastructure required to train, evaluate, and run large-scale agent systems
- Working in a collaborative team in order to overcome challenges
Role Requirements
- 5+ years of experience in software engineering or a relevant field
- Experience with agent architecture in a professional environment via LLM/VLM reasoning and planning systems
- Educational experience highly preferred (PHD, Masters etc) in a relevant area
- Python or other deep learning frameworks
- Bonus if you have worked on agents interacting with real product environments
London area based
Salary - 140-160k base salary + wider package
Hybrid position
This role CAN offer sponsorship if needed
If you have the required experience and skillset please apply for immediate consideration!
Applied AI Agent Engineer employer: Thyme
Contact Detail:
Thyme Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied AI Agent Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can get you in the door.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects related to AI agent systems. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your knowledge of agent architecture and be ready to discuss your experience with LLM/VLM reasoning. We want you to feel confident and ready to impress!
✨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 Applied AI Agent Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of an AI Agent Engineer. Highlight your experience with agent architecture and any relevant projects you've worked on. We want to see how your skills align with our needs!
Showcase Your Experience: Don’t just list your past jobs; explain what you did in each role, especially if it relates to multimodal environments or LLM/VLM systems. We love seeing concrete examples of your work that demonstrate your expertise.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to express your passion for AI and how you can contribute to our team. We appreciate a personal touch, so let us know why you’re excited about this opportunity.
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. Plus, we love seeing applications come in through our own platform!
How to prepare for a job interview at Thyme
✨Know Your Stuff
Make sure you brush up on your knowledge of agent architecture and multimodal environments. Be ready to discuss your past experiences with LLM/VLM reasoning and planning systems, as this will show that you’re not just familiar with the concepts but have practical experience too.
✨Showcase Your Projects
Prepare to talk about specific projects where you've designed and built agent systems. Highlight any challenges you faced and how you overcame them, especially in collaborative settings. This will demonstrate your problem-solving skills and teamwork abilities.
✨Get Technical
Since Python and deep learning frameworks are key for this role, be prepared for technical questions or even a coding challenge. Brush up on your coding skills and be ready to explain your thought process while solving problems.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company and the role. Inquire about their current projects, the team dynamics, or how they envision the future of their agent systems. This shows that you’re genuinely interested and engaged.