Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and operate AI automation workflows using cutting-edge LLM technology.
- Company: Join CommandLink, a forward-thinking company in the UK.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on security and innovation.
- Why this job: Shape the future of business communication with innovative AI solutions.
- Qualifications: 2+ years in production LLM applications and strong software engineering skills.
The predicted salary is between 60000 - 72000 £ per year.
CommandLink in the United Kingdom is seeking an AI Engineer focused on LLM Systems to design and operate AI automation. You will build workflows using Temporal, implement security policies, and collaborate across engineering teams.
Success requires:
- At least 2 years of experience in production LLM applications
- Strong understanding of prompt injection security
- Solid software engineering skills
Join us to shape the future of business communication with innovative solutions.
Agentic LLM Systems Engineer for Production AI Workflows in London employer: CommandLink
Contact Detail:
CommandLink Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Agentic LLM Systems Engineer for Production AI Workflows in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working with LLM systems. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your work with AI automation and production LLM applications. This is your chance to demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on prompt injection security and software engineering principles. We want you to feel confident discussing these topics, as they’re crucial for the role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Agentic LLM Systems Engineer for Production AI Workflows in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with LLM applications and software engineering. We want to see how your skills align with the role, so don’t 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 you’re passionate about AI automation and how your background makes you a perfect fit for our team. Let us know what excites you about this role!
Showcase Your Technical Skills: Don’t forget to mention your understanding of prompt injection security and any experience with tools like Temporal. We’re looking for someone who can hit the ground running, so highlight those technical skills that make you stand out!
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’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at CommandLink
✨Know Your LLM Inside Out
Make sure you have a solid grasp of large language models and their applications. Brush up on your experience with production LLM applications, as you'll want to showcase specific projects you've worked on and the impact they had.
✨Demonstrate Your Workflow Skills
Familiarise yourself with Temporal and be ready to discuss how you've built or optimised workflows in the past. Prepare examples that highlight your ability to design efficient processes and how they contributed to successful AI automation.
✨Security is Key
Since prompt injection security is crucial for this role, ensure you can articulate your understanding of security policies related to LLM systems. Be prepared to discuss any challenges you've faced and how you addressed them in previous roles.
✨Collaboration is Essential
This position requires working across engineering teams, so think about times when you've successfully collaborated with others. Share stories that demonstrate your teamwork skills and how you’ve contributed to a collective goal in AI projects.