At a Glance
- Tasks: Architect and optimise high-throughput AI systems for large-scale generative models.
- Company: Well-funded AI infrastructure startup with a focus on innovation.
- Benefits: Competitive salary, dynamic work environment, and opportunities for rapid career growth.
- Other info: Collaborate with top-tier researchers in a rapidly scaling infrastructure.
- Why this job: Join an elite team and shape the future of AI model deployment.
- Qualifications: Expertise in systems programming, C++ or Rust, and deep learning frameworks.
The predicted salary is between 60000 - 80000 £ per year.
As a core member of the technical staff, you will architect and optimize high-throughput inference systems for large-scale generative models. You will tackle deep technical challenges in distributed systems and hardware-software co-design, directly impacting the latency and scalability of production-grade AI services for a global developer ecosystem.
Location: London, UK
Why this role is remarkable:
- Work at the intersection of systems engineering and cutting‑edge machine learning research to define the future of model deployment.
- Join an elite technical team backed by top‑tier venture capital firms during a period of rapid infrastructure scaling.
- Influence the foundational layer of AI applications by building systems that make massive models commercially viable and performant.
What You Will Do:
- Design and implement low‑level optimizations for model inference to maximize GPU utilization and minimize token latency.
- Build robust, distributed systems capable of serving frontier models with high reliability and cost‑efficiency.
- Collaborate with research teams to integrate novel architectures into production‑ready inference engines and serving stacks.
The ideal candidate:
- Demonstrates deep expertise in systems programming and optimizing performance‑critical software in C++ or Rust.
- Has a proven track record of working with deep learning frameworks and low‑level GPU acceleration libraries.
- Possesses a strong understanding of distributed systems and the mechanics of modern large language model architectures.
Member of Technical Staff: AI Systems Engineer at well-funded AI infrastructure startup in London employer: Jack & Jill
As a well-funded AI infrastructure startup located in London, we offer an exceptional work environment that fosters innovation and collaboration among elite technical teams. Our culture prioritises employee growth through hands-on experience with cutting-edge technologies and the opportunity to influence the future of AI applications. Join us to tackle deep technical challenges while enjoying the benefits of a dynamic startup atmosphere backed by top-tier venture capital.
StudySmarter Expert Advice🤫
We think this is how you could land Member of Technical Staff: AI Systems Engineer at well-funded AI infrastructure startup in London
✨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, especially those related to systems programming and AI. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your C++ or Rust skills. Practice coding challenges and system design problems that relate to distributed systems and GPU optimization. We want you to feel confident when it’s showtime!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Member of Technical Staff: AI Systems Engineer at well-funded AI infrastructure startup in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with systems programming and optimising performance-critical software. We want to see how your skills in C++ or Rust can shine through!
Showcase Relevant Projects:Include any projects that demonstrate your expertise in deep learning frameworks and GPU acceleration. We love seeing real-world applications of your skills, so don’t hold back!
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you’re the perfect fit for this role. Share your passion for AI systems engineering and how you can contribute to our mission of optimising large-scale generative models.
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 this exciting opportunity!
How to prepare for a job interview at Jack & Jill
✨Know Your Tech Inside Out
Make sure you brush up on your systems programming skills, especially in C++ or Rust. Be ready to discuss specific projects where you've optimised performance-critical software, as this will show your deep expertise and hands-on experience.
✨Understand the AI Landscape
Familiarise yourself with the latest trends in AI infrastructure and large-scale generative models. Being able to discuss recent advancements or challenges in the field will demonstrate your passion and knowledge, making you stand out as a candidate.
✨Prepare for Technical Challenges
Expect to tackle some deep technical questions during the interview. Practice explaining your thought process when solving problems related to distributed systems and GPU acceleration. This will showcase your analytical skills and ability to think on your feet.
✨Show Your Collaborative Spirit
Since the role involves working closely with research teams, be prepared to discuss how you've successfully collaborated in the past. Share examples of how you integrated novel architectures into production-ready systems, highlighting your teamwork and communication skills.
