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- Tasks: Integrate LLM capabilities and build innovative AI solutions.
- Company: Leading technology consultancy in London with a focus on AI.
- Benefits: Hybrid work, private health insurance, generous leave, and a learning budget.
- Why this job: Join a cutting-edge team and shape the future of AI technology.
- Qualifications: Strong AI and software engineering skills, especially in Python.
- Other info: Exciting projects with opportunities for professional growth.
The predicted salary is between 43200 - 72000 £ per year.
A technology consultancy in London is seeking a Senior AI Engineer to integrate LLM capabilities into their products. The role involves experimenting with POCs, collaborating on AI projects, and building LLM-based solutions.
Ideal candidates will have strong AI and software engineering skills, particularly in Python and experience with cloud platforms.
The position offers a hybrid work environment, private health insurance, generous leave, and a learning budget.
Senior AI Engineer - LLM & Agentic Systems (Hybrid London) employer: Elsewhen
Contact Detail:
Elsewhen Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer - LLM & Agentic Systems (Hybrid London)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech scene, especially those who work at companies you're eyeing. A friendly chat can open doors and give you insider info on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your LLM projects or any relevant AI experiments you've done. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common AI engineering questions and coding challenges. We recommend practicing with friends or using online platforms to simulate the interview experience.
✨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 (Hybrid London)
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your AI and software engineering skills, especially in Python. We want to see how your experience aligns with the role, so don’t hold back on showcasing your best projects!
Tailor Your Application: Take a moment to customise your application for this specific role. Mention how your background fits into integrating LLM capabilities and any relevant cloud platform experience you have. It helps us see why you're the perfect fit!
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that are easy to read. Use bullet points if needed to make your achievements stand out!
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’s super easy!
How to prepare for a job interview at Elsewhen
✨Know Your LLMs
Make sure you brush up on your knowledge of large language models (LLMs) before the interview. Be ready to discuss how you've integrated LLM capabilities into previous projects and any innovative solutions you've developed.
✨Showcase Your Python Skills
Since strong Python skills are a must for this role, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice common algorithms and data structures in Python to show off your expertise.
✨Cloud Platforms Are Key
Familiarise yourself with the cloud platforms mentioned in the job description. Be prepared to discuss your experience with deploying AI solutions in a cloud environment and how you’ve leveraged these platforms to enhance performance.
✨Collaborative Mindset
This role involves collaboration on AI projects, so be ready to share examples of how you've worked effectively in teams. Highlight your communication skills and how you’ve contributed to successful project outcomes in a collaborative setting.
