POSITION SUMMARY EarnIn is making AI-native operations a core capability - not an initiative, but how our business functions are designed, run, and scaled. We're not hiring someone who dabbles in AI. We're hiring an AI builder who looks at every internal workflow and asks: how could an agent help humans do this better? You will build the agents, automations, and integrations that power how we hire, develop, and scale EarnIn's people and operations. The tools and automations you build will run in production, making real decisions for the teams that keep EarnIn operating - so the community we serve can access their pay when it matters most.
This is not a prompt engineering role. It is not a tools administrator role. You are a builder. The Mountain View base salary range for this full-time position is $189,000-$231,000, plus equity and benefits. Our salary ranges are determined by role, level, and location. This is a hybrid position in Mountain View that requires in-office work 2 days a week. We are unable to provide visa sponsorship or immigration support for this position.
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
#LI-Hybrid
