# Senior AI Platform Engineer

Source: https://realanalystjobs.com/job/senior-ai-platform-engineer-earnin-cc4f0494
Senior AI Platform Engineer at Earnin, an on-site role based in Mountain View, California, USA. Experience level: 4+ Years. Pay stated in the posting: $228,000-$279,000. Posted on 15 September 2026, read from Earnin's own careers page (Greenhouse), which RealAnalystJobs re-checks daily and removes the role when it closes. The posting says the employer will not sponsor a visa for this role.

Updated 15 November 2026.

## Key facts

- Company: [Earnin](https://realanalystjobs.com/companies/earnin)
- Location: Mountain View, California, USA
- Work mode: On-site
- Pay stated in the posting: $228,000-$279,000
- Posted: Sep 15, 2026
- Employment type: Full time
- Experience level: 4+ Years
- Source: Earnin's careers page (Greenhouse), re-checked daily

Skills: [Python](https://realanalystjobs.com/skills/python), AWS

## Visa sponsorship

The posting says the employer will not sponsor a visa for this role.

## About this role

ABOUT EARNIN

As one of the first pioneers of earned wage access, our passion at EarnIn is building products that deliver real-time financial flexibility for people living paycheck to paycheck. Our 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. We’re fortunate to have an incredibly experienced leadership team, combined with world-class funding partners like A16Z, Matrix Partners, DST, Ribbit Capital, and a very healthy core business with a tremendous runway. We’re growing fast and excited to bring on world-class talent to help shape the next chapter of our growth journey.

EarnIn is becoming an AI-native company, embedding AI agents into how we build, analyze, and operate across every function. Teams use AI Agents to move from ideas to execution faster. By letting agents handle repetitive tasks, our people can focus on judgment, creativity, and hard problems. We pair this experimentation with the strict review and security guardrails our regulated financial environment requires, always keeping a focus on privacy and the people who rely on our products.

As a company, we are becoming AI-native, and we encourage you to use AI tools throughout much of your interview process. If you use AI during the live interview, just say so; a quick, natural mention of how it helped and why you are using it is all we need. What we're evaluating 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 we'll let you know of those in advance. When in doubt, ask your recruiter or interviewer directly.

POSITION SUMMARY

We are the Platform-as-a-Service Engineering team at EarnIn. We build the foundational "Paved Road" that enables our product teams to ship with velocity and safety. Our stack is built on AWS, EKS, and ArgoCD, but our future is Agentic. We are shifting from manual configuration to AI-augmented orchestration, where the platform anticipates developer needs and self-heals through intelligent automation.

We're seeking a Senior Platform Engineer to design, build, and operate the agentic systems and core infrastructure that power our platform. You will work across Kubernetes (AWS EKS), GitOps (Argo CD), CI/CD (GitHub Actions), and our developer portal (Cortex), building AI agents and automation that reduce operational toil and increase platform leverage for engineering teams across EarnIn.

As a Senior engineer, you independently design and implement solutions for well-scoped but complex problems, re-architecting components, adopting new technologies, and improving existing processes with minimal guidance. You'll build agents that handle real slices of incident triage, environment provisioning, config generation, and developer self-service, and you'll partner with Staff engineers and your manager to align your work with the team's broader technical direction. The base salary range for this full-time position is $228,000-$279,000, plus equity and benefits. Our salary ranges are determined by role, level, and location. This is a hybrid position in Mountain View (Headquarters) and will require in-office work 2 days a week.

Applicants must be currently authorized to work in the United States. We are able to support H-1B and O-1 employer transfers but are NOT able to provide new visa sponsorship or consider candidates working pursuant to OPT or CPT for this position

WHAT YOU'LL DO

• AI-Agent Design and Build: Design, build, and operate AI agents in production, following established governance patterns for model selection, evaluation, and safety. Contribute to infrastructure-as-code practices for agentic systems, ensuring prompts, tools, and evaluation criteria are versioned, reviewed, and tested like any other critical component.

• Technical Execution: Implement agentic patterns for cloud infrastructure in your area of ownership, applying and helping refine team best practices for production AI agents. Support and mentor less experienced engineers on agentic patterns, LLM integration, and prompt engineering as opportunities arise.

• Platform Operations: Operate and improve high-availability distributed systems on AWS, identifying and resolving performance, scalability, and stability issues within your domain. Use AI-driven observability and anomaly detection to catch problems early. Evolve infrastructure-as-code and automation standards for the services you own, incorporating agentic pattern recognition and automated remediation where it adds value.

• Developer Platform: Contribute to the evolution of our developer control plane (Cortex) as an AI-augmented self-service platform, building features that let engineers scaffold services, debug deployments, and resolve issues through natural language. Help encode platform standards and security policies into AI-powered golden paths.

• Reliability and Documentation: Document agentic architecture, best practices, and operational procedures for the systems you build. Participate in on-call rotations, and use post-mortems as a feedback loop to improve system reliability and your team's agentic automation.

WHAT WE'RE LOOKING FOR

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

• 4+ years in cloud infrastructure, working on large-scale, high-availability, customer-facing distributed systems.

• Experience mentoring junior engineers and leading well-scoped platform initiatives within your team.

• Hands-on experience building and operating AI-driven systems in production, including agentic workflows that perform operational tasks. You should be able to speak to specific agent designs or automation you've built.

• Experience reducing operational toil through agentic AI (e.g., LLM-powered incident diagnosis, intelligent CI/CD with test selection,

Description from Earnin's public careers feed, reproduced so you can read the role here. Apply on the company's own site; Real Analyst Jobs never submits anything for you.

## How to apply

Open [this role on Real Analyst Jobs](https://realanalystjobs.com/job/senior-ai-platform-engineer-earnin-cc4f0494) and use Apply now there to reach the employer's application. The listing is re-checked against Earnin's careers page daily and removed when it closes.

## Earnin

2 open analyst roles on Real Analyst Jobs. [More roles at Earnin](https://realanalystjobs.com/companies/earnin)

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## Sources and links

- [This role on Real Analyst Jobs](https://realanalystjobs.com/job/senior-ai-platform-engineer-earnin-cc4f0494)
- [Earnin on Real Analyst Jobs](https://realanalystjobs.com/companies/earnin)
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