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- Tasks: Design and optimise LLM workflows using cutting-edge AI technologies.
- Company: Forward-thinking AI company based in the UK with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Exciting environment with a focus on collaboration and continuous learning.
- Why this job: Join a dynamic team and shape the future of AI with your creativity.
- Qualifications: Strong experience in Python and relevant AI frameworks like CrewAI and n8n.
The predicted salary is between 36000 - 60000 £ per year.
A forward-thinking AI company in the United Kingdom is seeking a Gen-AI Prompt & Context Engineer to design and operate LLM workflows. The role involves optimizing prompts, developing multi-agent systems, and ensuring compliance and performance through Python automation and various AI frameworks.
Strong experience in relevant technologies like CrewAI and n8n is essential for creating automated workflows, improving reliability, and maintaining knowledge freshness in dynamic AI environments.
LLM Orchestration Engineer: Prompts, RAG & Multi-Agent employer: 9NEXUS
Contact Detail:
9NEXUS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land LLM Orchestration Engineer: Prompts, RAG & Multi-Agent
✨Tip Number 1
Network like a pro! Reach out to folks in the AI space, especially those working with LLMs and automation. Join relevant online communities or attend meetups to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your work with prompts, multi-agent systems, and any Python automation projects. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of CrewAI and n8n. Be ready to discuss how you've used these tools in past projects and how they can optimise workflows in a dynamic AI environment.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Tailor your application to highlight your experience with LLM workflows and automation to catch our eye.
We think you need these skills to ace LLM Orchestration Engineer: Prompts, RAG & Multi-Agent
Some tips for your application 🫡
Show Off Your Skills: When you're writing your application, make sure to highlight your experience with relevant technologies like CrewAI and n8n. We want to see how you've used these tools to create automated workflows and improve performance in your past roles.
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to the role of LLM Orchestration Engineer. Mention specific projects or experiences that relate to optimizing prompts and developing multi-agent systems.
Be Clear and Concise: We appreciate clarity! Make sure your application is easy to read and straight to the point. Use bullet points where necessary to break down your achievements and skills, especially those related to Python automation.
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 us you’re keen on joining our team!
How to prepare for a job interview at 9NEXUS
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like CrewAI and n8n. Brush up on how these tools work and be ready to discuss your past experiences using them. This will show that you’re not just familiar with the tech but can also apply it effectively.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles related to LLM workflows or multi-agent systems. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help demonstrate your analytical thinking and ability to optimise prompts and workflows.
✨Understand the AI Landscape
Stay updated on the latest trends and developments in AI, especially around prompt engineering and automation. Being able to discuss recent advancements or case studies will impress your interviewers and show your passion for the field.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s approach to AI and their specific projects. This not only shows your interest in the role but also helps you gauge if the company aligns with your career goals. Think about asking how they measure the success of their LLM workflows or what challenges they currently face.