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- Tasks: Design and build AI workflows with a focus on LLM systems.
- Company: Join CommandLink, a forward-thinking company in the AI space.
- Benefits: Enjoy a fully remote role with flexible hours and competitive pay.
- Other info: Collaborate with talented teams in a dynamic and innovative environment.
- Why this job: Shape the future of business communication while working on impactful projects.
- Qualifications: 2+ years of experience with production LLM applications required.
The predicted salary is between 60000 - 80000 £ per year.
CommandLink is looking for an AI Engineer focused on LLM Systems to design, build, and operate AI workflows. This 100% remote position involves collaboration with engineering teams and requires 2+ years of experience with production LLM applications.
You'll work on security, policy controls, and output evaluation, while the role offers flexibility and the chance to shape business communication. Join us and make an impact!
Remote AI Engineer: LLM Systems & Agentic Workflows employer: CommandLink
Contact Detail:
CommandLink Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote AI Engineer: LLM Systems & Agentic Workflows
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and engineering space on LinkedIn or relevant forums. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your work with LLM applications. This could be projects, case studies, or even contributions to open-source. Let your work speak for itself!
✨Tip Number 3
Prepare for those interviews! Brush up on common AI engineering questions and be ready to discuss your experience with security and policy controls. Confidence is key, so practice makes perfect!
✨Tip Number 4
Apply through our website! We love seeing candidates who take the initiative. Plus, it gives you a better chance to stand out in the application process. Don't miss out!
We think you need these skills to ace Remote AI Engineer: LLM Systems & Agentic Workflows
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with LLM applications and any relevant projects. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI workflows and how you can contribute to our team. Keep it engaging and personal – we love getting to know our applicants!
Showcase Your Collaboration Skills: Since this role involves working closely with engineering teams, make sure to mention any collaborative projects you've been part of. We value teamwork, so let us know how you’ve successfully worked with others in the past.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at CommandLink
✨Know Your LLMs
Make sure you brush up on your knowledge of large language models (LLMs) before the interview. Be prepared to discuss your experience with production LLM applications, as well as any specific projects you've worked on that relate to AI workflows.
✨Showcase Collaboration Skills
Since this role involves working closely with engineering teams, highlight your teamwork and collaboration skills. Share examples of how you've successfully collaborated on projects in the past, especially in remote settings.
✨Understand Security and Policy Controls
Familiarise yourself with security measures and policy controls relevant to AI systems. Be ready to discuss how you would approach these aspects in your work, as they are crucial for the role at CommandLink.
✨Prepare Questions
Have a few thoughtful questions ready to ask your interviewers. This shows your genuine interest in the position and helps you understand how you can make an impact within the company. Consider asking about their current AI projects or how they envision the future of AI workflows.