At a Glance
- Tasks: Build and deploy cutting-edge AI systems for a global investment bank.
- Company: Join a leading recruitment firm focused on innovative AI solutions.
- Benefits: Competitive daily rates and potential for contract-to-permanent roles.
- Other info: Exciting opportunity to work on high-impact projects in a dynamic environment.
- Why this job: Make a real impact by integrating LLM-powered systems into enterprise platforms.
- Qualifications: Experience in distributed systems, backend or data engineering, and LLM deployment.
The predicted salary is between 60000 - 80000 £ per year.
CipherTek Recruitment is seeking experienced professionals for Senior AI Engineering roles focused on building production-grade Agentic AI systems at a global investment bank in London.
Candidates must have extensive experience in distributed systems, backend or data engineering, and deploying LLM solutions in production.
This role offers an opportunity to work on high-impact projects that integrate LLM-powered systems into enterprise-grade platforms, with competitive daily rates and a potential contract-to-permanent arrangement.
Production AI Platform Engineer (LLM, RAG, Distributed) employer: CipherTek Recruitment
Contact Detail:
CipherTek Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Production AI Platform Engineer (LLM, RAG, Distributed)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working at investment banks or in AI engineering. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your work with distributed systems and LLM solutions. Having tangible examples of your expertise can really set you apart during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of backend and data engineering principles. We recommend practicing coding challenges and system design questions to boost your confidence.
✨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 talented individuals to join us in building amazing AI systems.
We think you need these skills to ace Production AI Platform Engineer (LLM, RAG, Distributed)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with distributed systems and LLM solutions. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects you've worked on!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about building production-grade AI systems and how your background makes you a perfect fit for this role. We love a good story!
Showcase Your Technical Skills: In your application, be specific about the technologies and tools you've used in your previous roles. We’re looking for candidates who can hit the ground running, so let us know what you bring to the table!
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 us during the process!
How to prepare for a job interview at CipherTek Recruitment
✨Know Your Tech Inside Out
Make sure you’re well-versed in distributed systems and LLM solutions. Brush up on your backend and data engineering skills, as you’ll likely be asked to discuss specific technologies and frameworks you've worked with. Be ready to share examples of how you've deployed these systems in production.
✨Showcase Your Problem-Solving Skills
Prepare to tackle hypothetical scenarios or case studies during the interview. Think about challenges you’ve faced in previous roles and how you overcame them, especially in high-pressure environments. This will demonstrate your ability to think critically and adapt in a fast-paced setting.
✨Understand the Business Context
Since this role is within a global investment bank, it’s crucial to understand how AI can impact financial services. Familiarise yourself with current trends in AI and finance, and be prepared to discuss how your work can drive value for the business. This shows you’re not just a techie but also a strategic thinker.
✨Ask Insightful Questions
Interviews are a two-way street, so come prepared with questions that show your interest in the role and the company. Ask about the team dynamics, the types of projects you’d be working on, and how success is measured in this position. This not only helps you gauge if it’s the right fit but also leaves a positive impression.