AI Developer IV

RealPage, Inc.

. Design, build, integrate, test, and operate platform services supporting production AI agents across multiple product teams .

Posted 10/15/2026full-timeRemote • Texas • United StatesMid-LevelSenior💰 $159,100 - $270,900 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in backend and platform engineering, focusing on building reliable production systems and improving developer tooling for AI agents. Strong collaboration and communication skills are essential for partnering with cross-functional teams to ensure quality and operational readiness.

Highest-signal resume keywords

Backend EngineeringDistributed SystemsWorkflow AutomationObservabilityCollaboration Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Production SystemsTestingPerformanceMaintainabilityAsynchronous ExecutionAPIsMonitoringDeployment PipelinesIncident ResponseRegression Testing

Soft Skills

Clear CommunicationMentoringCollaboration

Tools & Technologies

Developer PlatformsIntegration ToolsMonitoring ToolsDebugging WorkflowsDashboards

Industry Keywords

AI AgentsModel-Driven ProductsAgentic AIProduction Support

Tech Stack

Tools & technologies

Distributed Systems

About the role

Key responsibilities & impact

Design, build, integrate, test, and operate platform services supporting 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 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

Requirements

What you’ll need

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
Interest in LLMs, AI agents, model-driven products, workflow automation, or agentic AI platform patterns
Strong collaboration skills across engineering, product, QA/Eval, operations, and customer-facing teams
Clear communication around technical decisions, implementation plans, risks, and production issues

Benefits

Comp & perks

Health, dental, and vision insurance
Retirement savings plan with company match
Paid time off and holidays
Professional development opportunities
Performance-based bonus based on position
Additional rewards, including annual bonus and sales incentives, depending on the applicable plan, role, and individual performance