EarnIn
AI Builder
Mountain View, US · Full-time
No sponsorship$189k-$231kDetected 33 days ago
GitLLMsRAGAI OrchestrationHRISLeadership
About the role
- 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?
- Our salary ranges are determined by role, level, and location.
Responsibilities
- Agent development: Build and deploy agents that automate high-volume People and Operations workflows - approvals, reporting, intake, reconciliation
- 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
- Strong opinions about developer experience and a track record of building things other engineers actually use
- 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
- 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.
- We are unable to provide visa sponsorship or immigration support for this position.
Requirements
- 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
- 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.
- If you have any concerns about the use of AI in our hiring process, please connect with your recruiter.
Compensation
- The Mountain View base salary range for this full-time position is $189,000-$231,000, plus equity and benefits.
Benefits
- The Mountain View base salary range for this full-time position is $189,000-$231,000, plus equity and benefits.
Company info
- At EarnIn, we believe that the best way to build a financial system that works for everyday people is by hiring a team that represents our diverse community.
Visa & Work Authorization
- We are unable to provide visa sponsorship or immigration support for this position.
This listing is sourced directly from EarnIn's careers page and normalized into a canonical job model.