Core AI Platform Engineer - Scalable Infra & Open Models

G-Research; Greater London; On-site; GBP 120,000 - 180,000; Full time

Benefits offered by this job

Lunch provided (via Just Eat for Biz)

Dedicated barista bar

30 days annual leave

9% company pension contributions

Comprehensive healthcare and life assu

Job summary

G-Research in London is seeking an Engineer for the Core AI team to design, build and operate the foundational AI platform. You will work across on-prem model inference, controller servers, and secure sandboxing while enabling high-quality research across the firm.

You will influence platform reliability, developer experience, and scalable infrastructure across Kubernetes, with emphasis on secure access, observability and open-source adoption, collaborating closely with Applied AI teams.

Qualifications

• Strong expertise in C# and Python, building distributed systems.
• Deep Kubernetes expertise, multi-tenant clusters.
• Experience with Docker, Terraform and CI/CD in regulated environments.
• Strong understanding of distributed systems, including networking, storage, security and performance.
• Experience with model serving and inference infrastructure.
• Experience with MCP or similar platform services.
• Experience in quantitative finance or low-latency systems.
• Clear communication skills and technical documentation ability.
• Experience with AWS in hybrid environments.
• Familiarity with observability tooling such as Prometheus, Grafana or OpenTelemetry.
• Contributions to open-source projects in relevant domains.

Responsibilities

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

Skills

C#

Python

Kubernetes

Distributed systems

Docker

Terraform

CI/CD

Model serving

Open-source

AWS

Observability

Tools

Prometheus

Grafana

OpenTelemetry

CI/CD pipelines

Job description

G-Research in London is seeking an Engineer for the Core AI team to design, build and operate the foundational AI platform. You will work across on-prem model inference, controller servers, and secure sandboxing while enabling high-quality research across the firm.

You will influence platform reliability, developer experience, and scalable infrastructure across Kubernetes, with emphasis on secure access, observability and open-source adoption, collaborating closely with Applied AI teams.