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Software Engineer

Netflix - 1d ago

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Senior Software Engineer

Reddit - 4d ago

Lead AI Engineer, Finance Digital Transformation

Requirements

  • 7+ years shipping production web applications with demonstrated technical leadership
  • Graduate degree in CS, Software Engineering, or related field (or equivalent experience)
  • Deep expertise in Python and modern JavaScript/TypeScript frameworks (React, Vue)
  • Proven track record deploying generative AI solutions (RAG, prompt engineering, evaluation frameworks) to production
  • Strong Kubernetes and cloud platform experience (AWS, GCP, or Azure)
  • Excellence in system design, code review, testing strategies, and GitOps practices
  • Experience mentoring engineers and driving technical decisions across teams
  • Ability to communicate complex technical concepts to both engineering and finance audiences

Nice to Haves

  • LLMOps expertise: evaluation pipelines, prompt versioning, drift detection
  • Experience with agentic frameworks (LangChain, LangGraph, Google ADK)
  • Understanding of finance fundamentals (SOx compliance, P&L, financial reporting cycles)
  • Background in ML algorithms and their practical applications in enterprise settings

What You'll Be Doing

  • Design and deliver production AI applications
  • Define engineering standards for AI delivery
  • Write code alongside your team
  • Guide engineers in AI best practices
  • Establish SLOs and ensure AI systems meet operational standards
  • Collaborate with Finance stakeholders to deliver high-impact features

Perks and Benefits

  • Builder-leader role with autonomy to choose technologies
  • Direct impact on how Apple operates financially
  • Rare opportunity to define how AI transforms finance
  • Resources to build solutions at scale
  • Culture of engineering excellence
AI Summary ✨
Apple logo

Apple

Cork, Ireland

Experience: Senior
Posted: June 9, 2026
Last seen: an hour ago
Aws
Azure
Gcp
Javascript
Kubernetes
Python
React
Typescript
Vue
machinelearning

Why we track Apple

Apple's EU engineering footprint is quieter than Google's or Meta's, but it's substantial. London, Munich, Cambridge, and Cork all have real teams. Cambridge in particular does chip and hardware work that's hard to find elsewhere in Europe.

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