Software Engineer, Developer Experience (AI-Native Tooling)

Company: EarnIn
Location: Remote (US) or Hybrid (Mexico City)
Salary Range: Determined by role, level, and location

About EarnIn

EarnIn is a pioneer in earned wage access, providing real-time financial flexibility for individuals living paycheck to paycheck. Our community members access their earnings without mandatory fees, interest rates, or credit checks. With experienced leadership, world-class funding, and a healthy core business, we are growing rapidly and seeking top talent to join us.

Position Summary

Join our Developer Experience (DevX) team to design and ship AI-native tooling and agentic workflows that significantly accelerate how EarnIn engineers build, ship, and operate software. This role aims to set a new standard for engineering productivity. The position is remote, with the option for a hybrid arrangement from our Mexico City office.

What You’ll Do

• Leverage firsthand experience with engineering friction to build empathetic and effective tools and automation.
• Drive the design, development, and implementation of tools, systems, and processes that boost engineering velocity, reduce manual effort, and enhance software delivery quality.
• Utilize cutting-edge AI capabilities (LLM APIs, agentic workflows, MCP patterns, AI-assisted development environments) to redefine engineering productivity.
• Architect and operate multi-step agentic systems with clear inputs, outputs, validation checkpoints, and human-in-the-loop guardrails for reliable, scalable operation.
• Embed AI-assisted capabilities into CI/CD pipelines and GitHub Actions workflows to improve build reliability, code quality feedback, and reduce developer toil.
• Guide and advise product engineering teams on building observable, scalable systems, acting as a force multiplier across the organization.
• Partner directly with engineering teams to identify high-friction workflows, translate them into AI-assisted automation, and measure impact.
• Instrument AI-powered features with end-to-end logging, monitoring, and evaluation.
• Document patterns, usage guidance, and best practices for consistent adoption and extension across the organization.

What We’re Looking For

• 4+ years of professional software engineering experience, including 3+ years building infrastructure or internal tooling for developer teams; fluency in Python or Go.
• Firsthand experience with the tools, workflows, and pain points of software engineering teams.
• Hands-on experience building and deploying agentic or LLM-powered systems in production, including practical familiarity with MCP patterns, tool-augmented workflows, or multi-step agent architectures.
• Some experience integrating with LLM APIs (Anthropic Claude, OpenAI, or equivalent) and understanding of tradeoffs (context management, latency, cost, safety).
• Experience with GitHub Actions or similar CI/CD platforms, including building custom workflows or automation operating on code/pull requests.
• Daily use of AI-assisted development tools (Cursor, Claude Code, Copilot, or equivalent) as a core part of your workflow.
• Ability to define meaningful metrics for AI-assisted tooling and conduct experiments to validate impact.
• Clear written and verbal communication skills, comfortable advising and influencing partner engineering teams in a distributed environment.

Benefits

• Healthcare, internet, and cell phone reimbursement.
• Learning and development stipend.
• Potential opportunities to travel to our Mountain View headquarters.
• EarnIn does not provide visa sponsorship or immigration support for this position.

EarnIn is committed to a diverse and inclusive culture. We are an E-Verify participant.

EarnIn does not accept unsolicited resumes from individual recruiters or third-party recruiting agencies.