Agentic QA Engineer / Generative AI & Agentic Systems (Contract & FTE)-7

About this role

Dallas, Texas 75019 Posted March 29th, 2026

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Job Type: Full Time

Job Category: IT

Job Description

Role: Agentic QA Engineer – Generative AI & Agentic Systems
Location: Dallas, TX - In Person interviews
Contract & FTE

Summary
We are seeking a hands-on AI Engineer to design and execute end-to-end testing strategies for agentic AI solutions, including multi-agent systems in production-grade environments. This role partners with the Agentic Operations Team to ensure resiliency, reliability, accuracy, latency, orchestration correctness, and scale. You will establish QA frameworks, build reusable test artifacts, drive macro-level validations across complex workflows, and lead the QA function for Agentic AI from Dev to Prod.

Key Responsibilities

Quality Strategy & Leadership

Agentic & Multi‑Agent Testing

Reliability, Resiliency, and Latency

Accuracy & Macro-Level Validations

Scale & Orchestration

Dev Prod Readiness

Define and own the QA strategy for agentic/multi-agent AI systems across dev, staging, and prod.

Mentor a team of QA engineers; establish testing standards, coding guidelines for test harnesses, and review practices.

Partner with Agentic Operations, Data Science, MLOps, and Platform teams to embed QA in the SDLC and incident response.

Design tests for agent orchestration, tool calling, planner-executor loops, and inter-agent coordination (e.g., task decomposition, handoff integrity, and convergence to goals).

Validate state management, context windows, memory/knowledge stores, and prompt/graph correctness under varying conditions.

Implement scenario fuzzing (e.g., adversarial inputs, prompt perturbations, tool latency spikes, degraded APIs).

Create resilience testing suites: chaos experiments, failover, retries/backoff, circuit-breaking, and degraded mode behavior.

Establish latency SLOs and measure end...