Senior QA Engineer: AI Testing & Agentic Systems

Jobtailor

Austin (TX)

On-site

USD 120,000 - 150,000

Full time

12 days ago

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Job summary

Jobtailor is seeking a senior QA leader to own the quality strategy for teams shipping largely agent-generated code. You will shape testing priorities for AI-powered features and define how we measure success across rapid development cycles.

Responsibilities include building automated test infrastructures across unit, integration, end-to-end, and performance tests; defining evaluation frameworks; and partnering with engineering to ship reliable, safe AI-enabled products with robust test data and

Qualifications

  • 8+ years of industry experience in test automation or quality engineering.
  • Strong programming skills in Python, TypeScript, Java, or C#.
  • Hands-on experience testing AI and model-based systems, including evaluation frameworks.
  • Ability to build and scale automated testing platforms, including CI/CD integration.
  • Excellent communication and collaboration across distributed teams.
  • Experience with API testing, performance testing, and AI failure modes.

Responsibilities

  • Own the quality strategy for teams shipping largely agent-generated code.
  • Build and maintain automated test infrastructure across unit, integration, end-to-end, contract, API, performance, and regression testing.
  • Define and operate evaluation frameworks for AI-powered features, including datasets, scoring systems, model-as-judge approaches, human calibration, regression tracking, and release gates.
  • Design testing strategies for non-deterministic and agentic systems.
  • Use AI coding agents to generate and maintain meaningful, risk-based test suites.
  • Test agent behavior, including multi-step task execution, tool usage, failure recovery, safety enforcement, and human handoff workflows.
  • Instrument production quality signals and use real-world feedback to improve evaluation and testing frameworks.
  • Partner with engineering teams throughout the development lifecycle, from refinement through release.

Skills

Test automation
Python programming
TypeScript programming
Java programming
C# programming
AI testing
CI/CD integration
Flaky test management
Agentic systems evaluation
API testing
Performance testing
Communication across distributed teams

Tools

MCP Tooling
Evaluation Frameworks
Test Data Strategies
Agentic Development Environments
API Testing Tools

Job description

Jobtailor is seeking a senior QA leader to own the quality strategy for teams shipping largely agent-generated code. You will shape testing priorities for AI-powered features and define how we measure success across rapid development cycles.

Responsibilities include building automated test infrastructures across unit, integration, end-to-end, and performance tests; defining evaluation frameworks; and partnering with engineering to ship reliable, safe AI-enabled products with robust test data and

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