At a Glance
- Tasks: Design and integrate AI components into our workflow platform using LLMs.
- Company: Join Delta Capita, a leader in innovative tech solutions.
- Benefits: Enjoy a hybrid working model and competitive salary.
- Other info: Exciting opportunity for growth in a dynamic London-based team.
- Why this job: Make a real impact by shaping the future of AI integration.
- Qualifications: Experience with LLMs in regulated environments and familiarity with Copilot or Azure OpenAI.
The predicted salary is between 60000 - 80000 £ per year.
Delta Capita is searching for an LLM Specialist to design and integrate AI components into their workflow platform. This hands-on role involves selecting appropriate models, engineering prompts, and ensuring robust evaluation mechanisms.
The ideal candidate will have experience in integrating LLMs in regulated environments and familiarity with Copilot or Azure OpenAI.
Position offers a hybrid working model in London, requiring a valid UK work permit.
Production LLM Engineer & AI Integrator (Hybrid, London) employer: Delta Capita
Contact Detail:
Delta Capita Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Production LLM Engineer & AI Integrator (Hybrid, London)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work at Delta Capita or similar companies. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! If you've worked with LLMs or AI integrations before, create a portfolio showcasing your projects. This will help us see your hands-on experience and how you can contribute to the team.
✨Tip Number 3
Prepare for the technical interview! Brush up on your knowledge of prompt engineering and evaluation mechanisms. We want to see how you think and solve problems, so practice explaining your thought process clearly.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows us you're genuinely interested in joining our team at Delta Capita.
We think you need these skills to ace Production LLM Engineer & AI Integrator (Hybrid, London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with LLMs and AI integration. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or technologies you've worked with!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how your background makes you a perfect fit. We love seeing genuine enthusiasm for what we do at StudySmarter.
Showcase Your Problem-Solving Skills: In your application, highlight specific examples where you've tackled challenges in integrating AI components. We’re looking for candidates who can think critically and adapt in regulated environments, so share those experiences!
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 Delta Capita
✨Know Your LLMs
Make sure you brush up on your knowledge of large language models, especially those relevant to the role. Be prepared to discuss specific models you've worked with and how you've integrated them into workflows, particularly in regulated environments.
✨Showcase Your Hands-On Experience
This role is hands-on, so be ready to share examples of your previous work. Talk about the AI components you've designed and integrated, and highlight any challenges you faced and how you overcame them.
✨Familiarity with Tools
Since familiarity with tools like Copilot or Azure OpenAI is a plus, make sure you can discuss your experience with these platforms. If you’ve used them, prepare to explain how they fit into your projects and the benefits they brought.
✨Prepare for Technical Questions
Expect technical questions that assess your problem-solving skills and understanding of prompt engineering. Practise explaining your thought process clearly and concisely, as this will demonstrate your expertise and communication skills.