Netgear

Staff Engineer - AI Platform and Enablement

Cork, Cork, IrelandFull timeStaff€85,000 - €94,000 / yearPosted 6 days ago
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Role Overview

This is a hybrid role based in our Cork office.

As a Staff Engineer on NETGEAR’s AI Platform and Enablement team, you will play a strategic and highly impactful role in shaping how AI is built into the fabric of the whole company: engineering teams, business units and corporate functions alike. This position is designed for a deeply experienced technical leader who thrives at the intersection of AI infrastructure, developer enablement and business enablement.

You will own three interconnected areas of ownership. First, you will help build and operate the core AI and LLM platform: model routing, evaluation, and the shared tooling that lets teams across NETGEAR build reliably on top of large language models. Second, you will scale the use of coding agents and assistants across engineering, raising AI fluency and the bar on how we ship software. Third, and equally important, you will extend AI enablement beyond engineering and into business functions — finding the workflows worth automating and building them.

That third mandate is not a side project. A meaningful share of NETGEAR’s near-term AI value sits in business process, not product code, and this role is expected to have organisation-wide impact. Much of the work will resemble the enablement currently being driven for non-technical teams, scaled up and made repeatable.

With significant autonomy, you will own delivery of key technical initiatives aligned with organisational goals and directly influence the short and medium-term success of NETGEAR’s AI strategy.

Key Responsibilities

AI and LLM Platform Infrastructure

  • Design, build, and operate the shared AI platform layer: model routing and fallback strategies, API gateway patterns, rate limiting, and multi-provider abstraction (Anthropic, OpenAI, and others as needed).
  • Own cost and usage optimisation across the organisation’s AI spend, covering model selection, prompt and context efficiency, caching, and session-level cost...