Senior AI Platform Engineer: Scale Infra & LLM Gateway

Wave Group

Greater London

Hybrid

GBP 69,000 - 115,000

Full time

14 days+
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Benefits offered by this job

Private medical
Share schemes
Learning allowance
Flexible working

Job summary

Wave Group in London is seeking a Senior AI Platform Engineer to own the foundational AI infrastructure, including hosting and serving ML/GenAI models at scale within a hybrid setup. You will lead the LLM gateway standardisation, monitoring and quota management, while building robust frameworks and integrating third-party AI tools.

The role requires hands-on cloud and Kubernetes expertise, with a strong emphasis on scale, cost control and Responsible AI practices.

Qualifications

  • Strong platform and cloud engineering background with experience hosting ML/GenAI models.
  • Hands-on experience with LLM-based applications and related tooling.
  • Ability to work across Data Science, Engineering, Product and Security teams.

Responsibilities

  • Designing and building cloud infrastructure for hosting and serving ML and GenAI models at scale.
  • Owning the LLM gateway, standardising usage, monitoring, cost control and quotas.
  • Developing frameworks and tooling for consistent AI development.
  • Integrating third-party AI tools and agent frameworks.
  • Shaping Responsible AI practices into the platform from day one.

Skills

Platform engineering
Cloud infrastructure
Kubernetes
AWS
LLM applications
RAG
Vector databases
Agent frameworks
Cross-functional collaboration

Tools

Serverless
Cost dashboards
Monitoring frameworks

Job description

Wave Group in London is seeking a Senior AI Platform Engineer to own the foundational AI infrastructure, including hosting and serving ML/GenAI models at scale within a hybrid setup. You will lead the LLM gateway standardisation, monitoring and quota management, while building robust frameworks and integrating third-party AI tools.

The role requires hands-on cloud and Kubernetes expertise, with a strong emphasis on scale, cost control and Responsible AI practices.

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