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- Tasks: Design and build AI agent systems for complex tasks in multimodal environments.
- Company: Innovative design tooling organisation based in London.
- Benefits: Competitive salary, hybrid work model, and sponsorship available.
- Other info: Collaborative environment with opportunities for professional growth.
- Why this job: Join a cutting-edge team and shape the future of AI technology.
- Qualifications: 5+ years in software engineering with experience in agent architecture.
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 in City of London employer: THYME
Contact Detail:
THYME Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied AI Agent Engineer in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨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 interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions and be ready to discuss your experience with agent architecture and multimodal environments.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Applied AI Agent Engineer in City of London
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!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a perfect fit for our team. Let us know what excites you about working with us in London.
Showcase Your Technical Skills: Don’t forget to showcase your technical skills, especially in Python and deep learning frameworks. If you've got experience with LLM/VLM reasoning and planning systems, make sure that stands out in your application!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and get back to you quickly. We can’t wait to hear from you!
How to prepare for a job interview at THYME
✨Know Your Stuff
Make sure you brush up on your knowledge of agent architecture and the specific technologies mentioned in the job description. Be ready to discuss your experience with LLM/VLM reasoning and planning systems, as well as any relevant projects you've worked on.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex tasks in multimodal environments. Think about challenges you've faced in previous roles and how you collaborated with your team to overcome them. This will demonstrate your ability to work effectively in a collaborative setting.
✨Get Familiar with the Company
Research the innovative design tooling organisation and understand their platform. Knowing their mission, values, and recent developments can help you tailor your answers and show genuine interest in the role.
✨Ask Insightful Questions
Prepare thoughtful questions to ask at the end of the interview. Inquire about the data flywheel and how it impacts agent performance, or ask about the team's approach to building infrastructure for large-scale systems. This shows you're engaged and eager to contribute.