Senior AI Platform Engineer — Remote, RAG Pipelines

Accelerant

Greater London

Remote

GBP 90,000 - 130,000

Full time

34 hours ago
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Job summary

Accelerant is seeking a senior AI Platform Engineer to lead production AI agents and reusable components. You will work across squads and AI Guilds to translate AI strategy into scalable solutions, collaborating with DevOps, Compliance, and ARX PS teams. The role emphasizes reliability, observability, and cost-aware AI tooling.

Location: Remote flexible in the UK with right to work; you will co-own AI environments and drive practical AI implementations across the organization.

Qualifications

  • 6-8+ years software engineering experience.
  • Experience building agents or AI workflows.
  • Experience with vector databases and API orchestration.
  • Strong systems thinking.

Responsibilities

  • Build production AI agents and services.
  • Develop reusable AI components and workflows.
  • Prototype and productionize AI use cases.
  • Support development teams on AI implementations.
  • Collaborate with Compliance and ARX PS teams.
  • Co-own AI workflow environments (e.g., n8n) with DevOps.
  • Contribute to AI pattern development alongside AI Platform Architect.
  • Maintain reference implementations.
  • Improve AI reliability and observability.
  • Design and implement Retrieval-Augmented Generation (RAG) pipelines.
  • Implement prompt management, versioning, and evaluation tooling.
  • Establish AI observability, monitoring, and cost tracking practices.

Skills

AI workflows
Vector databases
API orchestration
Systems thinking

Tools

n8n

Job description

Accelerant is seeking a senior AI Platform Engineer to lead production AI agents and reusable components. You will work across squads and AI Guilds to translate AI strategy into scalable solutions, collaborating with DevOps, Compliance, and ARX PS teams. The role emphasizes reliability, observability, and cost-aware AI tooling.

Location: Remote flexible in the UK with right to work; you will co-own AI environments and drive practical AI implementations across the organization.

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