AI Infrastructure Engineer, Serving Platform

United States Digital Space LLC; Greater London; On-site; GBP 89,000 - 134,000; Full time

Job summary

United States Digital Space LLC is seeking a Software Engineer on the ML Infrastructure team to design and build scalable backend platforms for serving LLMs in research and production contexts.

You will collaborate with researchers and engineers, lead end-to-end projects, and implement monitoring and deployment tooling using Docker, Kubernetes, and cloud IaC. 4+ years of backend experience and proficiency in Python/Go/Rust/C++ are preferred.

Qualifications

• 4+ years of experience building large-scale backend systems.
• Strong programming skills in Python, Go, Rust or C++.
• Experience with LLM serving, routing and model optimization concepts.
• Familiarity with containers, orchestration, and cloud infrastructure.
• Ability to work independently in a fast-moving environment.

Responsibilities

• Build and maintain fault-tolerant, high-performance systems for serving LLMs at scale.
• Create internal platforms to enable LLM capability discovery.
• Collaborate with researchers and engineers to productionize models.
• Lead architecture reviews and drive implementation end-to-end.
• Develop monitoring and observability to ensure system health.

Skills

Backend systems

Python

Go

Rust

C++

LLM serving

Distributed systems

Tools

Docker

Kubernetes

AWS

GCP

Terraform

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.

• 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 [e-mail]. 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.

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