Agentic AI Developer IV

This Senior Agentic AI Platform Engineer role focuses on delivering a production-grade shared platform foundation for AI agents, covering both orchestration and runtime execution. The position emphasizes hands-on platform services that improve reliability, observability, integration quality, testing discipline, and post-launch operational support.

Role Overview

You will design and operate platform services that enable production AI agents for multiple product teams. Work includes creating reusable orchestration and runtime capabilities, strengthening developer tooling for monitoring and debugging, and supporting release readiness through regression testing, production support, and continuous improvement.

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 including 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.
• Recognize repeated implementation patterns and help convert 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

• Strong backend or platform engineering experience, particularly with distributed systems, infrastructure services, workflow systems, execution platforms, integrations, or developer platforms.
• Experience building reliable production systems with a focus on 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 regarding technical decisions, implementation plans, risks, and production issues.

Technologies

• LLMs
• AI agents

Location

Richardson, TX (onsite)

Salary

USD 159,100 - 270,900 per year

Benefits

• 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.

Salary and Benefits Details

• Pay Range: USD $159,100.00 - USD $270,900.00 /Yr.
• Compensation may vary based on location, qualifications including job-related education, training, experience, licensure, and certification, which could result at a level outside of these ranges.
• Certain roles may be eligible for additional rewards, including annual bonus and sales incentives depending on the terms of the applicable plan and role, as well as individual performance.