AI Platform Engineer remote

Overview

Scaling World-Class Data, AI & Analytics Leadership Teams | 20 Years in Retained Search | 3,000+ Hires | Helping Global Organisations Build the…

Focus: Internal SDK and tooling development

Reporting Line: Engineering leadership

Success Metric: Delivering robust, scalable AI solutions that empower teams to build quickly and effectively

• Design, build, and maintain internal SDKs, tooling, and frameworks to accelerate AI solution development.
• Implement modular, versioned components that ensure maintainability and reusability.
• Deploy and optimise AI workloads in cloud environments (GCP/Azure).
• Develop observability, monitoring, and audit tooling for AI applications.
• Experiment with and refine prompt engineering and LLM orchestration strategies.
• Produce high-quality documentation to enable adoption across internal teams.

• Experience with Lang Chain, Retrieval-Augmented Generation (RAG), and LLM orchestration
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• Skilled in cloud deployment (GCP or Azure).
• Familiarity with observability, monitoring, and audit practices
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• Strong focus on SDK modularity, versioning, and documentation.

• Mid-Senior level

• Full-time

• Information Technology

• Telephone Call Centers