Senior AI Platform Engineer

EarnIn is a financial technology company pioneering earned wage access and building products that provide real-time financial flexibility. The Senior AI Platform Engineer will design, build, and operate AI agents and core cloud infrastructure for the company’s platform, improving operational efficiency, reliability, and developer self-service across Kubernetes, GitOps, CI/CD, and developer portal systems.

Responsibilities:

• 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