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.