G-Re

Core AI Engineer

G-Re
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2 hours ago
London, United KingdomSenior

Responsibilities

  • Design and operate model-serving infrastructure, including inference pipelines and scheduling systems.
  • Build and run centralized MCP servers that provide secure and governed access to enterprise tools and data.
  • Own platform reliability, performance, and scalability across Kubernetes-based infrastructure.
  • Perform observability, capacity planning, and incident response for the platform.
  • Build self-service tooling and APIs that enable teams to provision and consume AI infrastructure independently.
  • Integrate platform services with existing technology stacks with clear interfaces, monitoring, and deployment automation.
  • Evaluate and adopt open-source technologies and emerging best practices to improve the platform.
  • Design infrastructure for safe execution of autonomous AI agents in a regulated environment.
  • Improve developer experience through integrations and user-facing tools.

Requirements

  • Strong expertise in C# and Python for building distributed systems and platform-level software.
  • Deep Kubernetes expertise, including multi-tenant cluster operations and platform extensions.
  • Experience with Docker, Terraform, and deployment automation in controlled or regulated environments.
  • Strong understanding of distributed systems, networking, storage, security, and performance.
  • Experience with model-serving and inference infrastructure, including deployment, scaling, and optimization of open models.
  • Strong communication skills and the ability to explain complex concepts and produce high-quality technical documentation.
  • Experience with MCP or similar platform services is desirable.
  • Familiarity with sandboxing and workload-isolation technologies is desirable.
  • Experience in quantitative finance or low-latency systems is desirable.
  • AWS experience, particularly in hybrid environments, is desirable.
  • Experience with Prometheus, Grafana, or OpenTelemetry is desirable.
  • Contributions to relevant open-source projects are desirable.

Benefits

  • Highly competitive compensation plus an annual discretionary bonus.
  • Lunch provided through Just Eat for Business and a dedicated barista bar.
  • 30 days of annual leave.
  • 9% company pension contributions.
  • Informal dress code and work/life balance.
  • Comprehensive healthcare and life assurance.
  • Cycle-to-work scheme.
  • Monthly company events.
  • Inclusive work environment with accommodations available for applicants with disabilities or special needs.

Tech Stack

G-Re

About G-Re

1,001-5,000 employees
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