AI Engineer - Data Intelligence - AI Platform

Solid platform engineering fundamentals, with experience building and operating services that other teams depend on

Proficiency in Python and experience with ML tooling and infrastructure

Experience with large-scale data systems (streaming, batch processing, data lakes)

Proven experience with ML infrastructure: model serving, vector databases, embedding pipelines

Solid understanding of cloud platforms (AWS preferred) and backend architecture

Experience building and optimising RAG and retrieval systems

You'll contribute to building and optimising the systems that sit between our product teams and the AI capabilities they need: LLM gateways, vector storage, retrieval infrastructure, and the guardrails that keep it all compliant and cost-effective.

This means:

Developing the platform services that power AI features across Culture Amp, including inference pipelines, embedding storage, and retrieval systems

Implementing a scalable approach to vector search across diverse categories of unstructured data (survey responses, performance feedback, company documents)

Executing LLMOps practices across the team, focusing on enhancing observability, monitoring costs, and ensuring system reliability.

Ensuring AI is used responsibly: implementing guardrails, security controls, and data compliance measures