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Staff Engineer (AI)

81 000 - 94 000€
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Ireland
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Staff Engineer (AI): Building and operating NETGEAR’s shared AI and LLM platform, scaling coding agents across engineering, and delivering AI solutions for business functions with an accent on model routing, evaluation, observability, cost optimisation, and secure integrations. Focus on designing distributed platform infrastructure, simplifying business processes for automation, and enabling technical and non-technical teams to adopt reliable agentic workflows.

Location: Cork, Ireland; hybrid role with an expectation to work on site at least 2 days per week in the Cork office. Eligibility to live and work in Ireland is required. Visa sponsorship and relocation support are not available.

Salary: €81K–€94K annually, plus bonus eligibility.

Company

hirify.global develops networking and connectivity products with intelligent solutions for consumers and businesses.

What you will do

  • Design, build, and operate the shared AI and LLM platform, including model routing, fallback strategies, API gateways, rate limiting, multi-provider abstractions, evaluation, observability, and monitoring.
  • Optimise organisation-wide AI costs and usage through model selection, prompt and context efficiency, caching, and session-level controls.
  • Drive adoption of AI coding agents and assistants, building internal tooling, guardrails, agentic SDLC workflows, review processes, documentation, and training.
  • Partner with Finance, Operations, Supply Chain, Marketing, Sales, People, and Legal to identify, simplify, and automate high-value business workflows.
  • Design reusable AI enablement patterns, skills, agents, connectors, internal applications, templates, onboarding materials, office hours, and a cross-functional community of practice.
  • Lead architecture and code reviews, debugging, mentorship, delivery tracking, and communication of technical direction and AI productivity and cost results.

Requirements

  • 8+ years of software engineering experience and a demonstrated history of leading impactful technical initiatives.
  • Hands-on production experience with LLM APIs such as Anthropic or OpenAI, including prompt and context design, tool use, and agentic workflows.
  • Experience simplifying complex business or legacy processes into reliable, automatable workflows and continuously exploring new tools and techniques.
  • Experience working directly with non-technical stakeholders to deliver technology that they adopt and continue using.
  • Strong experience optimising cost, performance, and reliability in cloud or distributed systems and influencing business outcomes through technology decisions.
  • Experience building or operating internal developer platforms, APIs, or shared infrastructure used by multiple teams.
  • Practical experience with AI-assisted development tools and interest in scaling their use across an organisation.
  • Strong design and architecture skills, including distributed systems, observability, secure API design, platform or enablement strategy, and delivery.
  • Proficiency in Python, JavaScript, TypeScript, or similar platform and tooling languages; experience with agent frameworks, MCP, or similar tool-orchestration approaches.
  • Strong communication skills for technical and non-technical audiences, including functional leadership presentations, plus a Bachelor’s degree in Computer Science or equivalent hands-on experience.

Nice to have

  • Background in business process automation, RPA, workflow tooling, or enterprise systems integration across ERP, CRM, finance, or supply chain systems.
  • Expertise with CI/CD, DevOps, and automation such as GitHub Actions applied to AI and ML workflows.
  • Experience with cloud platforms, preferably AWS, and cloud-native architectures.
  • Background in data or ML engineering, evaluation frameworks, or LLMOps.
  • Experience across mobile, web, or embedded systems and understanding of AI integration with each.

Culture & Benefits

  • Hybrid work with regular on-site collaboration in the Cork office.
  • Performance-driven environment focused on technical excellence, responsible AI use, and measurable results.
  • Opportunity to influence AI strategy across engineering, business units, and corporate functions.
  • Bonus eligibility in addition to the stated salary range.

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