Senior AI Engineer: Production-Scale LLM & Low-Latency
Senior AI Engineer: Production-Scale LLM & Low-Latency

Senior AI Engineer: Production-Scale LLM & Low-Latency

Full-Time 70000 - 90000 £ / year (est.) No home office possible
Chubb

At a Glance

  • Tasks: Lead the development of cutting-edge AI models and high-performance inference pipelines.
  • Company: Join Chubb, a leader in global analytics and innovation.
  • Benefits: Attractive salary, health benefits, and opportunities for professional growth.
  • Other info: Dynamic team environment with exciting challenges and career advancement.
  • Why this job: Be at the forefront of AI technology and make a significant impact.
  • Qualifications: 5+ years in AI/ML, strong Python skills, and experience with LLMs.

The predicted salary is between 70000 - 90000 £ per year.

Chubb is seeking an AI Engineer to join their Global Analytics team in London. This role focuses on the full lifecycle of production-grade AI, from training models to architecting high-performance inference pipelines.

With a minimum of 5 years in AI/ML engineering, candidates should have deep proficiency in Python and hands-on experience with LLMs. Familiarity with Docker and Kubernetes are necessary.

Join Chubb to drive innovation in AI solutions.

Senior AI Engineer: Production-Scale LLM & Low-Latency employer: Chubb

Chubb is an exceptional employer that fosters a culture of innovation and collaboration within its Global Analytics team in London. Employees benefit from a dynamic work environment that encourages professional growth through continuous learning opportunities and cutting-edge projects in AI technology. With a commitment to diversity and inclusion, Chubb offers a supportive atmosphere where your contributions are valued and impactful.
Chubb

Contact Detail:

Chubb Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior AI Engineer: Production-Scale LLM & Low-Latency

✨Tip Number 1

Network like a pro! Reach out to current or former employees at Chubb on LinkedIn. A friendly chat can give us insider info and might just get our foot in the door.

✨Tip Number 2

Show off our skills! Prepare a portfolio showcasing our AI projects, especially those involving LLMs. This will help us stand out and demonstrate our hands-on experience.

✨Tip Number 3

Practice makes perfect! Get ready for technical interviews by brushing up on Python and AI concepts. We can even do mock interviews with friends to build confidence.

✨Tip Number 4

Apply through our website! It’s the best way to ensure our application gets noticed. Plus, we can tailor our application to highlight our relevant experience with Docker and Kubernetes.

We think you need these skills to ace Senior AI Engineer: Production-Scale LLM & Low-Latency

AI/ML Engineering
Python
Production-Grade AI
LLMs (Large Language Models)
Docker
Kubernetes
High-Performance Inference Pipelines
Fluency in Mandarin

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience in AI/ML engineering, especially with LLMs. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects and 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 Global Analytics team. Let us know what excites you about working at Chubb!

Showcase Your Technical Skills: Since we’re looking for deep proficiency in Python and experience with Docker and Kubernetes, make sure to mention specific projects or experiences that demonstrate these skills. We love seeing practical applications of your knowledge!

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 and submit your materials!

How to prepare for a job interview at Chubb

✨Know Your AI Stuff

Make sure you brush up on your knowledge of production-grade AI and LLMs. Be ready to discuss your past projects in detail, especially how you've trained models and built inference pipelines. This is your chance to showcase your expertise!

✨Python Proficiency is Key

Since deep proficiency in Python is a must, be prepared to demonstrate your coding skills. You might be asked to solve problems on the spot or explain your thought process while coding. Practising common algorithms and data structures in Python can really help.

✨Docker and Kubernetes Know-How

Familiarity with Docker and Kubernetes is essential for this role. Brush up on how you've used these tools in previous projects. Be ready to discuss how they fit into your workflow and any challenges you faced while using them.

✨Language Skills Matter

Fluency in Mandarin is necessary, so don’t shy away from showcasing your language skills during the interview. You might be asked to converse in Mandarin or discuss how your language abilities can benefit the team at Chubb.

Senior AI Engineer: Production-Scale LLM & Low-Latency
Chubb

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