AI Infrastructure Engineer, Serving Platform
scaleai · London
What this role requires
6 requirements, read out of the advert rather than guessed from the job title:
Also mentioned, not required: AWS, GCP, Terraform, English (B2). Worth having, but their absence is not what gets a CV filtered out.
See how often each of these is required across open backend roles in Europe.
Free, no card. Tells you which of them your CV evidences and which it only implies.
Job description
As a Software Engineer on the ML Infrastructure team, you will design and build platforms for scalable, reliable, and efficient serving of LLMs. Our platform powers cutting-edge research and production systems, supporting both internal and external use cases across various environments.
The ideal candidate combines strong ML fundamentals with deep expertise in backend system design. You’ll work in a highly collaborative environment, bridging research and engineering to deliver seamless experiences to our customers and accelerate innovation across the company.
You will:
Build and maintain fault-tolerant, high-performance systems for serving LLMs and other models at scale.
Build an internal platform to empower LLM capability discovery.
Read the full description (22 more sections)Show less
Collaborate with researchers and engineers to integrate and optimize models for production and research use cases.
Conduct architecture and design reviews to uphold best practices in system design and scalability.
Develop monitoring and observability solutions to ensure system health and performance.
Lead projects end-to-end, from requirements gathering to implementation, in a cross-functional environment.
Ideally you'd have:
4+ years of experience building large-scale, high-performance backend systems.
Strong programming skills in one or more languages (e.g., Python, Go, Rust, C++).
Experience with LLM serving and routing fundamentals (e.g. rate limiting, token streaming, load balancing, budgets, etc.)
Experience with LLM capabilities and concepts such as reasoning, tool calling, prompt templates, etc.
Experience with containers and orchestration tools (e.g., Docker, Kubernetes).
Familiarity with cloud infrastructure (AWS, GCP) and infrastructure as code (e.g., Terraform).
Proven ability to solve complex problems and work independently in fast-moving environments.
Nice to haves:
Experience with modern LLM serving frameworks such as vLLM, SGLang, TensorRT-LLM, or text-generation-inference.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at ----- Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision .
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Find Jobs in United Kingdom on Arbeitnow
You will apply. Then you will hear nothing.
And no one will tell you what was wrong. See it before you send: your ATS score, every weak line, and the fix for each.
- 1
Drop in your CV
One PDF, thirty seconds. No card.
- 2
See what is wrong with it
Every weak passage, quoted from your own CV, with the line to replace it.
- 3
Apply where you fit
Every European role ranked against what your CV actually says.
- Free, no card
- Your CV file is deleted after parsing
- Or skip the upload — build your profile by hand
- Refreshed every 6 hours