Staff Engineer, AI Platform and Enablement

The role

You will build and operate a core AI and LLM platform including model routing and shared tooling. You will scale the use of coding agents across engineering and extend AI enablement into business functions to automate workflows.

What you will do

• Design, build, and operate the shared AI platform layer
• Own cost and usage optimisation for AI spend
• Build evaluation, observability, and monitoring for LLM-powered features
• Define architecture and standards for secure AI integration
• Drive adoption of AI coding agents and assistants across engineering
• Build internal tooling, guardrails, and workflows for AI delegation
• Establish best practices, documentation, and training for AI fluency
• Partner with business units to identify high-value AI opportunities
• Design and deliver AI solutions for non-technical users
• Provide mentorship and guidance to engineers and functional champions

Required qualifications

• 8+ years of software engineering experience
• Hands-on experience building with LLM APIs in production
• Ability to simplify complexity in business flows or legacy processes
• Experience working directly with non-technical stakeholders
• Track record of cost, performance, and reliability optimisation in cloud or distributed systems
• Experience building or operating internal developer platforms, APIs, or shared infrastructure
• Practical experience with AI-assisted development tools
• Strong design and architectural skills including distributed systems, observability, and secure API design
• Proficiency in Python, JavaScript, TypeScript, or similar languages
• Experience defining and delivering on a platform or enablement strategy
• Strong communicator able to articulate technical direction to technical and non-technical audiences
• Experience with agent frameworks, MCP (Model Context Protocol), or similar tool-orchestration approaches

Nice to have

• Background in business process automation, RPA, workflow tooling or systems integration
• Expertise with CI/CD, DevOps practices, and automation applied to AI and ML workflows
• Experience with cloud platforms (AWS preferred) and cloud-native architectures
• Background in data or ML engineering, evaluation frameworks, or LLMOps
• Experience working across mobile, web, or embedded systems

About the company

NETGEAR is on a mission to unleash the full potential of connectivity with intelligent solutions. They turn ideas into innovative networking products that connect people, power businesses, and advance the way we live.