Developer Experience Engineer

About the Role

Join EarnIn's Developer Experience team to design and ship AI-native tooling and agentic workflows that accelerate how EarnIn engineers build, ship, and operate software. This remote role (with potential hybrid option from Mexico City) offers opportunities to raise engineering productivity and shape the tooling that powers a fast-growing fintech. What You'll Do

• Draw on firsthand experience with the friction, toil, and frustrations that slow engineering teams down and use that empathy to build tools and automation that actually solve the right problems.
• Drive the design, development, and implementation of tools, systems, and processes that accelerate engineering velocity, reduce manual effort, and raise the quality bar for software delivery.
• Use the latest AI capabilities (LLM APIs, agentic workflows, MCP patterns, and AI-assisted development environments) to rethink what a high-productivity engineering team looks like.
• Architect and operate multi-step agentic systems with well-defined inputs, outputs, validation checkpoints, and human-in-the-loop guardrails that run reliably at scale.
• Embed AI-assisted capabilities into CI/CD pipelines and GitHub Actions workflows to improve build reliability, code quality feedback loops, and developer toil reduction.
• Guide and advise product engineering teams on best practices for building observable, scalable systems acting as a force multiplier across the org.
• Partner directly with engineering teams to identify high-friction workflows, translate them into structured AI-assisted automation, and measure impact against defined success metrics.
• Instrument AI-powered features with end-to-end logging, monitoring, evaluation, and lifecycle from pilot through iteration or retirement.
• Document patterns, usage guidance, and best practices so proven workflows can be consistently adopted and extended across the org. 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.
• Hands-on experience building and deploying agentic or LLM-powered systems in production, including 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 around context management, latency, cost, and safety.
• Experience with GitHub Actions or similar CI/CD platforms, including building custom workflows or automation that operates on code or pull requests.
• Daily use of AI-assisted development tools (Cursor, Claude Code, Copilot, or equivalent); treat these as core to your work, not a nice-to-have.
• Ability to define meaningful metrics for AI-assisted tooling and run time-bound experiments to validate impact.
• Clear written and verbal communication skills, comfortable advising and influencing partner engineering teams in a distributed environment.
• Experience using AI-assisted development tools (e.g., Copilot, Cursor, LLMs). Compensation & Benefits
• Excellent benefits including healthcare, internet and cell phone reimbursement, a learning and development stipend, and potential opportunities to travel to Mountain View headquarters.
• Salary ranges are determined by role, level, and location.