Core AI Engineer — Scalable On-Prem AI Platform

G-Research; Greater London; On-site; GBP 100,000 - 150,000; Full time

Benefits offered by this job

Lunch provided (Just Eat for Business)

Barista bar

30 days annual leave

9% pension contributions

Healthcare and life assurance

Informal dress code

Excellent work/life balance

Job summary

G-Research in London is seeking an Engineer for the Core AI team to design, operate and scale on-prem model inference, MCP servers and sandboxing. You will build secure, scalable infrastructure powering autonomous AI across the firm.

You will work with C#, Python and Kubernetes, integrate with CI/CD, and help improve observability while collaborating with the Applied AI group to accelerate research.

Qualifications

• Strong expertise in C# and Python for distributed systems and platform software.
• Deep Kubernetes expertise with multi-tenant cluster operations.
• Experience with Docker, Terraform and CI/CD in regulated environments.
• Solid understanding of networking, storage, security and performance.
• Experience with model serving and inference infrastructure.

Responsibilities

• Designing and operating model serving infrastructure, including inference pipelines and scheduling systems.
• Building and running centralised MCP servers, ensuring secure access to tools and data.
• Owning platform reliability, performance and scalability across Kubernetes-based infrastructure.
• Building self-service tooling and APIs to enable teams to provision and consume AI infrastructure independently.
• Integrating platform services with existing technology stacks, with monitoring and CI/CD.
• Evaluating and adopting open-source technologies and applying best practices to improve the platform.

Skills

C#

Python

Kubernetes

CI/CD

Distributed systems

Open source

MCP

Sandboxing

AWS

Observability

Communication

Tools

Docker

Terraform

Prometheus

Job description

G-Research in London is seeking an Engineer for the Core AI team to design, operate and scale on-prem model inference, MCP servers and sandboxing. You will build secure, scalable infrastructure powering autonomous AI across the firm.

You will work with C#, Python and Kubernetes, integrate with CI/CD, and help improve observability while collaborating with the Applied AI group to accelerate research.