Platform Engineer (AI Automation)

About EarnIn

As one of the first pioneers of earned wage access, EarnIn builds products that deliver real-time financial flexibility for people living paycheck to paycheck. Community members access their earnings as they earn them, with options to spend, save, and grow their money without mandatory fees, interest rates, or credit checks.

EarnIn is becoming an AI-native company, embedding AI agents into how the organization builds, analyzes, and operates across every function. Teams use AI Agents to move from ideas to execution faster. By letting agents handle repetitive tasks, people can focus on judgment, creativity, and hard problems.

The company is fortunate to have an incredibly experienced leadership team, combined with world-class funding partners like A16Z, Matrix Partners, DST, and Ribbit Capital, and maintains a very healthy core business with tremendous runway.

Position Summary

We're seeking a Platform Engineer (I3) who is an AI-native builder—someone who doesn't just use AI tools but designs and deploys AI agents to eliminate toil, accelerate developer workflows, and multiply what a lean team can deliver. You will own solutions across Kubernetes (AWS EKS), GitOps (Argo CD), CI/CD (GitHub Actions), and the developer portal (Cortex), while relentlessly automating repetitive operational work through agentic AI.

As an I3 engineer, you are a professional contributor who effectively represents the team's perspective and communicates across functions. You will collaborate with DevX, SRE, and Product Engineering peers to turn fragmented workflows into AI-powered golden paths, building agents that handle incident triage, environment provisioning, config generation, and developer self-service so engineers can focus on high-value work instead of tickets.

This position will ideally be hybrid at the Mexico City office as part of the expanding site, though remote work is possible. EarnIn offers excellent employee benefits, including healthcare, internet and cell phone reimbursement, a learning and development stipend, and potential opportunities to travel to headquarters in Mountain View.

What You'll Do

• AI-Agent Development: Design, build, and iterate on AI agents that automate platform operations, from service and infra bootstrap, intelligent incident diagnosis, automated runbook execution, to self-healing infrastructure and PR-review bots. Own the agent lifecycle: prompt engineering, tool/function-call orchestration, evaluation, and production monitoring.

• Workflow Automation with AI: Identify and eliminate repetitive human-in-the-loop workflows across CI/CD, environment management, access provisioning, and change management.

• Developer Self-Service: Evolve the developer control plane (Cortex) into an AI-augmented self-service platform where engineers interact with intelligent assistants, not just dashboards, to scaffold services, debug deployments, query platform health, and resolve issues without filing tickets.

• Delivery & GitOps: Implement and maintain GitOps-based continuous delivery with Argo CD, integrating AI into CI pipelines for intelligent test selection, automated config validation, and deployment risk scoring.

• Kubernetes Infrastructure: Operate and evolve the Kubernetes platform on AWS EKS, focusing on environment hygiene, security, and cost efficiency, leveraging AI for anomaly detection, capacity recommendations, and automated remediation.

• Observability & Operational Excellence: Strengthen reliability by monitoring SLOs/error budgets and utilizing Datadog for metrics, traces, and logs, building AI-driven alerting and root-cause-analysis agents that reduce mean-time-to-resolution.

• Service Standardization: Maintain service scaffolds and templates that encode standards for testing and telemetry, using AI to auto-generate and validate configurations against platform baselines.

What We're Looking For

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

• 3+ years in platform, infrastructure, or backend engineering with deep knowledge of Kubernetes (EKS) and cloud-native architectures on AWS.

• Demonstrated experience building AI agents or agentic workflows, not just using Copilot or ChatGPT, but designing multi-step AI systems that autonomously perform operational tasks (e.g., LLM-powered runbook agents, intelligent CI/CD bots, self-service assistants with tool-use/function-calling).

• A track record of automating repetitive workflows with AI. You should be able to point to specific examples where you replaced manual processes with AI-driven automation that let a team do more with fewer resources.

• Experience in GitOps (ArgoCD) and CI (GitHub Actions) for multi-service systems.

• Strong coding skills in Go and/or Python, treating infrastructure as software.

• Excellent communication skills; able to clearly convey technical problems and advocate for both team and customer needs.

• Experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex, CrewAI, or custom agent architectures) and prompt engineering for production systems.

• Mission-Driven: A strong advocate for the customer who takes initiative to fix issues and constantly asks, "Can an AI agent do this instead of a human?"

AI in Our Interview Process

EarnIn encourages you to use AI tools throughout much of the interview process. If you use AI during the live interview, just mention it—a quick, natural mention of how it helped and why you are using it is all we need. What is being evaluated is your judgment, reasoning, and ability to own and defend your work, not whether AI was involved.

Some rounds, particularly those focused on your career history and past experiences, will not allow the use of AI, and you will be notified of those in advance. When in doubt, ask your recruiter or interviewer directly.

Diversity & Inclusion

At EarnIn, the best way to build a financial system that works for everyday people is by hiring a team that represents the diverse community. The team is diverse not only in background and experience but also in perspective. EarnIn celebrates its diversity and strives to create a culture of belonging.

EarnIn does not unlawfully discriminate based on race, color, religion, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, national origin, ancestry, citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, registered domestic partner status, sexual orientation, genetic information, or any other basis protected by local, state, or federal laws. EarnIn is an E-Verify participant.

EarnIn does not accept unsolicited resumes from individual recruiters or third-party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to hiring managers or HR team.