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Software Engineer

Netflix - 1d ago

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Senior Software Engineer

Reddit - 4d ago

GECX AI Forward Deployed Engineer I, Google Cloud

Requirements:

  • Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
  • Experience architecting AI systems on cloud platforms (e.g., Google Cloud Platform (GCP)).
  • Experience deploying resources via Terraform to automate the setup of agents, functions, or networking.
  • Experience building full-stack applications that interact with enterprise IT infrastructures and developing external customer projects.
  • 2 years of experience with software development in one or more programming languages (e.g., Python).

Nice to haves:

  • Master’s degree or PhD in AI, Computer Science, or a related technical field.
  • Experience implementing multi-agent systems using frameworks like ReAct and self-reflection.
  • Experience debugging Agent logic and optimizing tool selection, including tracing conversation IDs across microservices to identify and resolve failures in real-time.
  • Experience connecting agents to enterprise knowledge bases and optimizing retrieval-augmented generation (RAG) chunking to prevent hallucinations.
  • Ability to communicate in English and French or German fluently to support client relationship management in these regions.
  • Track record of troubleshooting live, high-traffic systems during critical windows.

What you'll be doing:

  • Serve as the lead developer for conversational artificial intelligence (AI) and customer experience (CX) applications, transitioning from rapid prototypes to production-grade agentic workflows.
  • Architect and code conversational flows that are not just functional, but optimized for the "connective tissue" between Google’s Conversational AI products and customers’ live infrastructure, including APIs, legacy data silos, and security perimeters.
  • Build high-performance evaluation (Eval) pipelines and observability frameworks to optimize agentic workloads, focusing on reasoning loops, tool selection, and reducing latency while maintaining production-grade security and networking.
  • Identify repeatable field patterns and technical "friction points" in Google’s AAI stack, converting them into reusable modules or product feature requests for Engineering teams.
  • Co-build with customer engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption.

Perks and Benefits:

  • Ireland: €100000 - €103000 (EUR) + 15% bonus target + equity + benefits
  • Exciting time to join Google Cloud’s Go-To-Market team.
  • Access to world's most advanced AI portfolio and the complete Vertex AI platform.
  • Opportunity to collaborate with DeepMind's engineering and research minds.
  • Equal opportunity and affirmative action employer.
AI Summary ✨
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Google

Dublin, Ireland

Experience: Junior
Posted: June 16, 2026
Last seen: 2 hours ago
Gcp
Golang
Nodejs
Python
React
Terraform
machinelearning

Why we track Google

Google has one of the largest EU engineering presences of any US company. Zurich, London, Munich, and Dublin all run core product work—Search, Maps, YouTube, Cloud. The Zurich office alone is one of their biggest globally. If you want FAANG-level work in Europe, this is one of the best options.

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