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AI Builder

189k – 231kMountain View, CAHybrid3+ YOE
Summary

Build and deploy AI agents and automations to streamline People and Operations workflows, recruiting, and internal tooling at EarnIn. Requires 3+ years of software engineering experience and hands-on LLM/agent development skills.

About the role

WHAT YOU'LL DO

Agent development: Build and deploy agents that automate high-volume People and Operations workflows — approvals, reporting, intake, reconciliation

Recruiting automation and analytics: Automate screening, scheduling, and pipeline workflows so recruiters spend time on humans, not process; build reporting and AI-powered insights that surface real-time visibility into velocity, quality, cost, and other key recruiting metrics

Internal tooling: Create lightweight internal apps that replace manual spreadsheet and email-based processes

Safe AI patterns: Establish guardrails and review loops that keep automated decisions auditable and compliant

WHAT WE'RE LOOKING FOR

  • 3+ years of full-time software engineering experience
  • Bachelor's degree in computer science, computer engineering, or a related technical discipline or equivalent industry experience
  • Hands-on experience with LLM integration patterns — prompt engineering, RAG pipelines, tool/function calling, and agent architectures
  • Proficiency and comfort working across the stack when needed
  • Experience with MCP, LangChain, or comparable orchestration frameworks
  • Experience with open source LLM models
  • Strong opinions about developer experience and a track record of building things other engineers actually use
  • You can translate complex technical systems into clear, practical solutions for non-technical stakeholders and communicate clearly on deliverables
  • You are thoughtful about privacy, governance, and responsible AI, especially in an HR context where data is sensitive
  • Experience using AI-assisted development tools (e.g., GitHub Copilot, Cursor, ChatGPT, or similar tools) as part of your software development workflow
  • Familiarity with HR and other key operations systems (Workday, Greenhouse, or similar) is a plus, not a requirement

COMPENSATION

The Mountain View base salary range for this full-time position is $189,000-$231,000, plus equity and benefits.

Skills
LLM integrationPrompt engineeringRAG pipelinesTool/function callingAgent architecturesLangChainMCPOpen source LLM modelsGitHub CopilotCursor
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