Agentic AI Developer IV

RealPage, Inc.•Richardson, TX

23h•$159,100 - $270,900•Remote

About The Position

RealPage is seeking a senior platform engineer to build the shared foundation for production-grade AI agents. The role supports the AI Platform mission of enabling product teams to build, release, evaluate, operate, and scale agentic AI systems without duplicating orchestration, runtime, evaluation, reporting, or reliability work. The engineer will work in an AI Platform pod, likely focusing on agent orchestration or agent runtime. This is a hands-on, production-oriented position involving implementation, integration, testing, observability, release discipline, reliability, and post-release support. The role is intended for a senior execution engineer who can own meaningful platform systems, work across product and infrastructure boundaries, and help establish reusable platform patterns for agentic AI capabilities.

Requirements

Strong backend or platform engineering experience, especially with distributed systems, infrastructure services, workflow systems, execution platforms, integrations, or developer platforms.
Experience building reliable production systems with attention to implementation quality, testing, observability, performance, supportability, and maintainability.
Familiarity with asynchronous execution, service coordination, APIs, stateful systems, monitoring, deployment pipelines, or production support.
Ability to work in a pod model with clear ownership for delivery, quality, support, and escalation.
Strong collaboration skills across engineering, product, QA/Eval, operations, and customer-facing teams.
Clear communication around technical decisions, implementation plans, risks, and production issues.

Nice To Haves

Interest in LLMs, AI agents, model-driven products, workflow automation, or agentic AI platform patterns.

Responsibilities

Design, build, integrate, test, and operate platform services that support production AI agents across multiple product teams.
Implement reusable capabilities for orchestration, runtime execution, tool integrations, observability, reliability, and workflow automation.
Partner with product teams, platform teams, QA/Eval, operations, and support stakeholders to release agent capabilities with strong quality and operational readiness.
Improve developer tooling, monitoring, logs, metrics, dashboards, alerts, and debugging workflows for agent systems.
Support release discipline, regression testing, production support, incident response, and continuous improvement after launch.
Identify repeated implementation patterns and help turn them into shared platform capabilities.
Contribute to technical designs, code reviews, rollout plans, and reliability improvements across the pod.
Mentor engineers through implementation feedback, testing discipline, and practical production judgment.