Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and develop autonomous AI agents for energy trading using modern technologies.
- Company: Join RJC Group, a leader in innovative AI solutions.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Other info: Work with cutting-edge AI frameworks in a collaborative team.
- Why this job: Be at the forefront of AI technology and make a real impact in energy trading.
- Qualifications: 4–6 years of software engineering experience with Python and TypeScript skills.
The predicted salary is between 60000 - 80000 £ per year.
RJC Group is seeking an AI Engineer in Greater London to design and develop autonomous AI agents for energy trading. The ideal candidate should have 4–6 years of software engineering experience, strong skills in Python and TypeScript, and hands-on experience with LLM systems.
Responsibilities include:
- Building cloud infrastructure
- Developing complete workflows from event triggers to integrations
This position offers a dynamic environment working with modern AI frameworks and technologies.
AI Agent Engineer — Production Systems & Cloud Orchestration in London employer: RJC Group
Contact Detail:
RJC Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Agent Engineer — Production Systems & Cloud Orchestration in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and energy trading sectors on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in Python and TypeScript, especially those involving LLM systems. This will give you an edge when discussing your experience.
✨Tip Number 3
Prepare for the tech interview! Brush up on cloud infrastructure and workflows. Be ready to discuss how you've tackled similar challenges in past roles.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace AI Agent Engineer — Production Systems & Cloud Orchestration in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in software engineering, especially with Python and TypeScript. We want to see how your skills align with the role of an AI Engineer, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and energy trading. We love seeing candidates who can connect their personal interests with our mission at RJC Group.
Showcase Your Hands-On Experience: If you've worked with LLM systems or built cloud infrastructure, make sure to mention it! We’re looking for practical experience, so share specific examples of your work that demonstrate your capabilities.
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’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at RJC Group
✨Know Your Tech Inside Out
Make sure you brush up on your Python and TypeScript skills before the interview. Be ready to discuss specific projects where you've used these languages, especially in relation to AI and cloud orchestration.
✨Showcase Your LLM Experience
Since hands-on experience with LLM systems is crucial for this role, prepare to talk about any relevant projects. Highlight how you’ve implemented these systems in real-world scenarios and the impact they had.
✨Understand the Energy Trading Landscape
Familiarise yourself with the basics of energy trading and how AI can enhance this field. Being able to discuss industry trends and challenges will show that you're not just technically skilled but also understand the business context.
✨Prepare for Problem-Solving Questions
Expect to face technical challenges during the interview. Practice coding problems and system design questions related to cloud infrastructure and event-driven workflows. This will help you demonstrate your problem-solving abilities effectively.