At a Glance
- Tasks: Build and maintain cutting-edge AI infrastructure for scalable model deployment.
- Company: Join a forward-thinking tech company in the heart of London.
- Benefits: Competitive salary, hands-on experience, and opportunities for growth.
- Other info: Dynamic team environment with exciting projects and career advancement.
- Why this job: Be at the forefront of AI innovation and make a real impact.
- Qualifications: Strong cloud platform experience and programming skills required.
The predicted salary is between 60000 - 80000 £ per year.
Location: London, UK
Work Model: On-site
Role Type: Full-Time
We are looking for an AI Platform Engineer with strong experience in LLM infrastructure and scalable AI systems to join our client’s on-site team in London. This role focuses on building and maintaining internal platforms that power Generative AI applications, enabling scalable model deployment, inference, and experimentation.
What You’ll Do
- Build and maintain infrastructure for LLM deployment and inference
- Develop scalable systems for embeddings, vector search, and RAG pipelines
- Design APIs and services for AI model consumption
- Optimise performance, latency, and cost of AI workloads
- Collaborate with AI engineers and data scientists to productionise models
- Implement monitoring and observability for AI systems
- Support experimentation and model lifecycle management
What We’re Looking For
Required Skills & Experience
- Strong experience with cloud platforms such as Amazon Web Services, Google Cloud, or Microsoft Azure
- Experience with containerisation using Docker and orchestration via Kubernetes
- Experience working with LLMs, embeddings, and vector databases
- Strong programming skills (Python preferred)
- Experience designing scalable backend systems
Nice to Have
- Experience with RAG architectures and GenAI frameworks
- Familiarity with model serving frameworks and inference optimisation
- Knowledge of MLOps workflows
AI Platform Engineer – LLM Infrastructure employer: Talenzon group
At Talenzon group, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to excel in their roles. As a Senior MLOps Engineer in our London office, you will benefit from a dynamic environment that encourages professional growth through hands-on experience with cutting-edge technologies like AWS and SageMaker. Our commitment to employee development, coupled with the vibrant city of London as your workplace, makes Talenzon an exceptional employer for those seeking meaningful and rewarding careers in AI and machine learning.
StudySmarter Expert Advice🤫
We think this is how you could land AI Platform Engineer – LLM Infrastructure
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech community, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to LLM infrastructure and scalable AI systems. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to cloud platforms, containerisation, and scalable backend systems. Practise explaining your thought process clearly, as communication is key in tech roles.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace AI Platform Engineer – LLM Infrastructure
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with LLM infrastructure and scalable AI systems. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how your background makes you a perfect fit for our team. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Technical Skills:When detailing your experience, focus on your proficiency with cloud platforms, containerisation, and programming languages like Python. We’re keen to see specific examples of how you’ve used these skills in past roles.
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 – just follow the prompts!
How to prepare for a job interview at Talenzon group
✨Know Your Tech Stack
Make sure you’re well-versed in the cloud platforms mentioned in the job description, like AWS, Google Cloud, or Azure. Brush up on your knowledge of Docker and Kubernetes too, as these are crucial for the role.
✨Showcase Your Projects
Prepare to discuss specific projects where you've built or maintained LLM infrastructure. Be ready to explain the challenges you faced and how you overcame them, especially regarding scalable systems and performance optimisation.
✨Understand the AI Landscape
Familiarise yourself with the latest trends in Generative AI and RAG architectures. Being able to discuss these topics will show that you’re not just technically skilled but also passionate about the field.
✨Collaborate and Communicate
Since this role involves working closely with AI engineers and data scientists, practice articulating your thoughts clearly. Think of examples where you’ve successfully collaborated on projects, as teamwork is key in this position.
