At a Glance
- Tasks: Design and operationalise LLM-driven workflows for impactful decision-making.
- Company: Moonfire, a forward-thinking tech company in Greater London.
- Benefits: Hybrid working model, competitive salary, and opportunities for growth.
- Other info: Exciting role with a focus on innovation and collaboration.
- Why this job: Join a cutting-edge team and shape the future of AI technology.
- Qualifications: Strong prompt engineering skills and experience with LLM agents required.
The predicted salary is between 60000 - 80000 £ per year.
Moonfire in Greater London is looking for an AI Engineer to design and operationalize LLM-driven workflows for generating decision-ready comparison reports. This role involves prompt engineering, context management, and integrating deterministic findings with LLM insights. The position offers a hybrid working model and requires familiarity with Salesforce metadata. Candidates should possess strong prompt engineering skills and hands-on experience with LLM agents.
AI Engineer: Prompt & Context Architect for Graph-LLM in London employer: Moonfire
Moonfire is an exceptional employer located in the vibrant Greater London area, offering a dynamic work culture that fosters innovation and collaboration. With a strong emphasis on employee growth, we provide ample opportunities for professional development and skill enhancement, particularly in cutting-edge AI technologies. Our hybrid working model ensures flexibility, allowing you to balance your personal and professional life while contributing to meaningful projects that drive impactful decision-making.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer: Prompt & Context Architect for Graph-LLM in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech scene, especially those who work at Moonfire or similar companies. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your prompt engineering projects and LLM workflows. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of Salesforce metadata and how it integrates with LLMs. We want you to feel confident discussing these topics when they come up!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for talented individuals like you to join our team!
We think you need these skills to ace AI Engineer: Prompt & Context Architect for Graph-LLM in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your prompt engineering skills and any hands-on experience with LLM agents in your application. We want to see how you can bring your expertise to the table!
Tailor Your Application:Don’t just send a generic CV! Tailor your application to reflect how your experience aligns with the role of AI Engineer at Moonfire. We love seeing candidates who take the time to connect their background with our needs.
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate straightforward communication, so make sure your key points stand out without unnecessary fluff.
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 ensure it reaches the right people!
How to prepare for a job interview at Moonfire
✨Master the Basics of LLMs
Before your interview, make sure you brush up on your knowledge of large language models (LLMs). Understand how they work, their applications, and be ready to discuss your hands-on experience with them. This will show that you're not just familiar with the technology but can also apply it effectively.
✨Showcase Your Prompt Engineering Skills
Prepare examples of your prompt engineering work. Think about specific challenges you've faced and how you overcame them. Being able to articulate your thought process and the results of your prompts will demonstrate your expertise and problem-solving abilities.
✨Familiarise Yourself with Salesforce Metadata
Since the role requires familiarity with Salesforce metadata, take some time to understand its structure and how it integrates with AI workflows. If you have any relevant projects or experiences, be ready to discuss them. This will highlight your readiness to hit the ground running.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your ability to design and operationalise LLM-driven workflows. Think through potential scenarios you might encounter in the role and how you would approach them. This will help you demonstrate your critical thinking and adaptability.
