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Staff Software Engineer - Customer Engagement & Docs Platform

Leads development of AI-powered systems for customer engagement using ML/LLMs to provide precise solutions and escalations. Requires 6+ years in large-scale distributed systems with strong product and ML expertise.

190k – 260kSan Francisco, CAFullstack EngineeringOnsite6+ YOE

About the role

Responsibilities

  • Lead design, development, and deployment of systems for Evaluation, Answer retrieval and Quality improvement for helping customers.
  • Lead architectural decisions to ensure performance, reliability, and accuracy of the knowledge systems.
  • Drive best practices for engineering excellence, including design reviews, code quality, testing strategies, and performance optimizations.
  • Deliver high-quality, production-ready code and services end-to-end — including performance tuning, resiliency improvements, and debugging in live environments.
  • Contribute to longer-term technical planning and support strategic initiatives in Assistant and Support organizations.

Requirements

  • 6+ years of industry experience building and operating large-scale distributed systems.
  • Demonstrated technical proficiency in machine learning and software engineering, coupled with a strong product-oriented approach.
  • The capacity to define and structure solutions in ambiguous problem domains.
  • Ability to mentor and guide junior engineers, as well as to effectively collaborate across various team boundaries.
  • Track record of driving high-impact, technically complex initiatives that delivered clear customer or business value.

Nice-to-Haves

  • Prior experience with retrieval systems and search technologies.

Skills

Machine LearningLLMsDistributed SystemsRetrieval SystemsSearch TechnologiesSoftware EngineeringKubernetesSparkPythonJava

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