Platform Engineer - AI Engineering

The Team

The Role

Key Responsibilities

• Configure and manage multi-engine API gateways, implementing dynamic routing rules, rate limits, and fallback logic for LLM requests.
• Execute the technical migration and integration of firm-wide tools into our centralized management plane to ensure all AI traffic is securely logged and governed.
• Operate within our Shared Responsibility Model alongside the Cloud team to manage AI services deployed in enterprise landing zones (e.g., managing Azure OpenAI instances, model deployments, and API key generation).
• Write robust Go and Python code to support the continuous sync loop for our usage dashboard and implement automated "progressive friction" mechanisms, such as alerts.
• Partner with the Inference Infrastructure pod to ensure our self-hosted, on-premise models are successfully registered and routable within our AI gateways.

Required Qualifications

• Strong backend programming experience, specifically in Go and/or Python.
• Hands-on experience with API design, integration, and platform/cloud engineering concepts.
• Familiarity with API gateways, proxy configuration, or distributed system networking.
• A strong interest in the rapidly evolving LLM ecosystem and the technical mechanics of AI tooling.
• A collaborative mindset with a focus on writing clean, maintainable code to replace prototype systems.
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