Senior AI Platform Engineer

Join EarnIn, a leading financial technology company, as a Senior Platform Engineer. In this role, you will design, build, and operate AI-augmented systems and core infrastructure that power our platform. You will work across various technologies, including Kubernetes, GitOps, CI/CD, and our developer portal. You will also contribute to the evolution of our developer control plane and document best practices and operational procedures. This position offers a range of benefits, including a 401k, health insurance, and work-from-home opportunities.

• Design, build, and operate AI agents in production, following established governance patterns for model selection, evaluation, and safety.
• Implement agentic patterns for cloud infrastructure in your area of ownership, applying and helping refine team best practices for production AI agents.
• 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.

• Proficiency with GitOps (Argo CD, Flux CD) and CI/CD orchestration (GitHub Actions, Argo Workflows) is a plus
• Strong knowledge of infrastructure-as-code tools (Terraform, Ansible) and experience applying both traditional IaC and agentic automation
• Experience reducing operational toil through agentic AI (e.g., LLM-powered incident diagnosis, intelligent CI/CD with test selection, self-service assistants) on at least one meaningful workflow
• Solid expertise in Kubernetes at scale and ability to implement complex, resilient solutions with guidance from senior/staff engineers
• Familiarity with security frameworks relevant to AI systems (guardrails, audit logging, data governance for LLMs) is a plus
• Strong adherence to security, privacy, and compliance best practices, with awareness of governance considerations for production AI systems (model safety, prompt injection prevention, data isolation)
• Strong working knowledge of AWS (EKS, Lambda, Bedrock, etc.) and experience with containerized and serverless architectures
• 4+ years in cloud infrastructure, working on large-scale, high-availability, customer-facing distributed systems
• Strong coding ability in Python and/or Go, with experience treating infrastructure and agentic systems as software
• Experience with service mesh (Linkerd, Istio) and traffic management at scale is a plus
• Experience with MLOps or LLMOps concepts (model versioning, evaluation frameworks, production monitoring for AI systems) is a plus
• Ability to collaborate effectively across engineering, product, and security teams on cross-functional work
• Experience with LLM orchestration frameworks (LangChain, LlamaIndex, CrewAI, or custom agentic architectures) and production prompt engineering
• Experience mentoring junior engineers and leading well-scoped platform initiatives within your team
• Bachelor's or Master's degree in Computer Science, Engineering, or related field
• Strong command of Datadog and observability practices, using metrics to drive decisions. Experience building AI-driven alerting or root-cause analysis systems is a plus
• 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