Senior LLM Serving Platform Engineer

Senior LLM Serving Platform Engineer

Full-Time 80000 - 100000 Β£ / year (est.) No working from home possible
Scale AI

At a Glance

  • Tasks: Design and build scalable platforms for AI models, ensuring reliability and seamless customer experiences.
  • Company: Join Scale AI, a leader in AI innovation based in London.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Dynamic team environment with excellent career advancement opportunities.
  • Why this job: Be at the forefront of AI technology and make a real impact on innovative projects.
  • Qualifications: 4+ years of backend infrastructure experience and a passion for AI.

The predicted salary is between 80000 - 100000 Β£ per year.

Scale AI in London, UK seeks an AI Infrastructure Engineer to design and build scalable, reliable serving platforms for LLMs.

You will bridge research and engineering to deliver seamless experiences to customers and accelerate innovation across the company.

The role focuses on building fault-tolerant systems, internal discovery platforms for LLMs, and collaborating with researchers to productionize models. 4+ years of backend infra experience is preferred.

#J-18808-Ljbffr

Senior LLM Serving Platform Engineer employer: Scale AI

At Scale AI, we are at the forefront of the Generative AI revolution, offering a dynamic work environment that fosters innovation and collaboration. Our European Forward Deployed Engineering team is not only pivotal in delivering high-impact solutions but also thrives on a culture of customer empathy and strategic influence, ensuring every team member has the opportunity to grow and make a real difference. With a commitment to inclusivity and professional development, Scale AI provides an exceptional platform for those eager to shape the future of enterprise AI.

Scale AI

Contact Details:

Scale AI Recruitment Team

We think you need these skills to ace Senior LLM Serving Platform Engineer

Backend Infrastructure Experience
Scalable System Design
Reliability Engineering
Fault-Tolerant Systems
AI Model Productionisation
Collaboration with Researchers
Internal Discovery Platforms