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- Tasks: Design and optimise LLM workflows using cutting-edge AI technologies.
- Company: A forward-thinking AI company in the UK with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Join a dynamic team and shape the future of AI with your creativity.
- Qualifications: Strong experience in Python automation and relevant AI frameworks.
- Other info: Exciting environment with a focus on collaboration and continuous learning.
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 in London 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 in London
✨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 Python automation. 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 the latest trends in AI and the specific technologies mentioned in the job description, like CrewAI and n8n. Being knowledgeable will help you impress interviewers and demonstrate your passion for the field.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find and apply for roles that match your skills. Plus, it shows you're serious about joining our team and helps us keep track of your application.
We think you need these skills to ace LLM Orchestration Engineer: Prompts, RAG & Multi-Agent in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with relevant technologies like CrewAI and n8n in your application. We want to see how you've used these tools to create automated workflows and improve performance.
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific requirements of the LLM Orchestration Engineer role. We love seeing candidates who understand what we’re looking for.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so make sure your skills and experiences shine without unnecessary fluff.
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 don’t miss out on any important updates from 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 can be used to optimise prompts and develop multi-agent systems, as you’ll likely be asked about your experience with them.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled challenges in LLM workflows or automated processes. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your ability to think critically and creatively.
✨Understand Compliance and Performance Metrics
Familiarise yourself with compliance standards and performance metrics relevant to AI workflows. Be ready to discuss how you ensure these aspects in your previous roles, as this will demonstrate your understanding of the importance of reliability in dynamic AI environments.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s approach to LLM orchestration and their future projects. This shows your genuine interest in the role and helps you gauge if the company aligns with your career goals.