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- Tasks: Enhance product offerings with LLM capabilities and innovate in AI engineering.
- Company: Forward-thinking consultancy in Greater London with a positive workplace culture.
- Benefits: Hybrid work environment, comprehensive benefits, and continuous learning opportunities.
- Why this job: Join a dynamic team dedicated to innovation and make an impact in AI.
- Qualifications: Professional AI engineering expertise and strong Python background required.
- Other info: Exciting opportunities for career growth and development.
The predicted salary is between 43200 - 72000 £ per year.
A forward-thinking consultancy in Greater London is seeking a Senior AI Engineer to enhance their product offerings with LLM capabilities. The ideal candidate will have professional AI engineering expertise, strong Python background, and experience in building LLM systems.
This role offers a hybrid work environment, comprehensive benefits, and opportunities for continuous learning and development. Join a dynamic team dedicated to innovation and positive workplace culture.
Senior AI Engineer - LLM & Agentic Systems employer: Elsewhen
Contact Detail:
Elsewhen Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer - LLM & Agentic Systems
✨Tip Number 1
Network like a pro! Reach out to people in the AI field, especially those working with LLM systems. Attend meetups or webinars to connect with potential employers and show off your passion for innovation.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your projects related to AI engineering and LLM systems. 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 common AI engineering questions and coding challenges. We recommend practising Python problems and discussing your previous projects to impress the interviewers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior AI Engineer - LLM & Agentic Systems
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your professional AI engineering expertise and strong Python background in your application. We want to see how your experience aligns with building LLM systems, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. Mention specific projects or experiences that relate to LLM capabilities and how you can enhance our product offerings. It shows us you’re genuinely interested!
Be Yourself: We value a positive workplace culture, so let your personality shine through in your application. Share your passion for innovation and continuous learning, as we’re looking for someone who fits right into our dynamic team.
Apply Through Our Website: For the best chance of getting noticed, make sure to apply directly through our website. It’s the easiest way for us to keep track of your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Elsewhen
✨Know Your LLMs Inside Out
Make sure you brush up on your knowledge of large language models (LLMs) before the interview. Be prepared to discuss your experience with building and deploying these systems, as well as any challenges you've faced and how you overcame them.
✨Show Off Your Python Skills
Since a strong Python background is essential for this role, be ready to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice common algorithms and data structures in Python to showcase your expertise.
✨Emphasise Continuous Learning
This consultancy values innovation and development, so highlight any recent courses, certifications, or projects that show your commitment to staying updated in the AI field. Discuss how you’ve applied new knowledge to improve your work or contribute to team projects.
✨Cultural Fit Matters
Since they focus on a positive workplace culture, be prepared to discuss how you align with their values. Share examples of how you've contributed to a collaborative environment in previous roles, and express your enthusiasm for being part of a dynamic team.
