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Posted 2 months ago

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Software Engineer - Tools & Automation

Foster City, CARemoteFull-time

AI Summary

Software Engineer on a Platform Stability team building AI-powered tools for diagnosing issues, designing AI agents, data pipelines, and production-grade AI solutions.

About this role

As a Software Engineer and member of the Platform Stability team, you will help build, fine-tune, and maintain a novel AI-powered tool for diagnosing technical issues and identifying root causes. You will collaborate cross-functionally to gather requirements, develop AI/ML and analytical models, and drive data-driven insights — all as part of a high-performing team.

In this role, you will:

  • Design and implement agentic AI systems with structured interfaces, reasoning loops, and robust error handling

  • Build and maintain data pipelines, scheduled workflows, and benchmarking infrastructure

  • Develop evaluation and scoring systems to measure and continuously improve model output quality

  • Integrate the platform with internal and external services, including ticketing, messaging, storage, and observability

  • Collaborate with cross-functional teams to translate business requirements into technical AI solutions

  • Architect and maintain production-grade AI solutions with focus on scalability, reliability, and performance

Qualifications

  • BS in relevant engineering discipline and 4+ years of relevant work experience

  • SW development, Strong Python with applications in AL/ML

  • Familiarity with AI agents and their applications, including prompt design, tool calling, context management, and evaluation

  • Experience or strong interest in Data Science and Engineering

  • Experience or strong interest in creating Analytical or AI/ML-based models for real-world problems

  • Strong problem-solving skills, especially in simplifying and modelling real-world problems

    • Bonus Qualifications

  • Familiarity with major LLM providers (OpenAI, Anthropic, Google, Meta, etc.) and understanding of their trade-offs in terms of performance, cost, latency, and capabilities

  • Experience integrating AI capabilities into applications or eagerness to learn application development

  • Full-stack development experience with both backend and frontend technologies

    • Skills

    AI/MLAnthropicAPIsBackend DevelopmentBenchmarking InfrastructureBS In EngineeringContext ManagementData PipelinesData ScienceDistributed SystemsEngineering DisciplinesEvaluation SystemsFull-stack DevelopmentGoogleLLM ProvidersMetaModel EvaluationObservabilityOpenAIProduction-grade AIPrompt DesignPythonScheduled WorkflowsStorageTicketingTool-calling

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