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, competitive salary, and career growth.
- Other info: Exciting opportunity in a dynamic team based in London.
- Why this job: Be at the forefront of AI integration and make a real impact.
- 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! Create a portfolio showcasing your experience with LLMs and AI integration. Include projects where you've engineered prompts or evaluated models, as this will demonstrate your hands-on expertise.
✨Tip Number 3
Prepare for the interview by brushing up on your knowledge of regulated environments and tools like Copilot or Azure OpenAI. We want you to feel confident discussing how you can contribute to their workflow platform.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for passionate individuals who are ready to make an impact in the AI space.
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 you've tackled similar challenges in the past, so don’t hold back on those relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for the role and how your skills align with our needs at Delta Capita. Keep it engaging and personal.
Showcase Your Technical Skills: Don’t forget to mention your familiarity with tools like Copilot or Azure OpenAI. We’re looking for someone who can hit the ground running, so highlight any hands-on experience you have with these technologies.
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 this exciting opportunity!
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 Delta Capita's needs. 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. Real-world examples will make you stand out!
✨Familiarity with Tools
Since familiarity with Copilot or Azure OpenAI is a plus, ensure you can discuss your experience with these tools. If you’ve used them, prepare to explain how they fit into your projects and the benefits they brought to your workflow.
✨Prepare for Technical Questions
Expect technical questions that assess your problem-solving skills and understanding of prompt engineering and evaluation mechanisms. Practise articulating your thought process clearly, as this will demonstrate your expertise and confidence in the subject matter.