AI Evaluation Engineer

Tactical Edge; Washington (District of Columbia); On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

Flexible work setup

Job summary

Tactical Edge is seeking a QA Engineer to ensure the reliability of enterprise AI platforms and customer solutions. The role collaborates with engineering, product, AI, and delivery teams to identify risks early, define test strategies, and ensure systems behave predictably in production.

Responsibilities include defining test strategies, validating functional and integration behavior, and contributing to automation and quality processes. Remote/hybrid work setup is supported.

Qualifications

• Experience in QA for production software systems.
• Strong understanding of testing methodologies and quality practices.
• Ability to think in terms of systems, workflows, and edge cases.
• Familiarity with test automation and CI/CD pipelines.
• Bonus: Experience testing AI-driven, data-heavy, or distributed systems.

Responsibilities

• Define and execute test strategies for platforms and AI-powered solutions.
• Validate functional, integration, and regression behavior across systems.
• Collaborate with engineering and product teams early in the development lifecycle.
• Identify edge cases, failure modes, and risk areas in complex systems.
• Contribute to test automation, tooling, and quality processes.
• Support release readiness and production validation.
• Analyze issues from production and help prevent regressions.
• Continuously improve QA practices and documentation.

Skills

Test automation

CI/CD pipelines

QA production systems

Edge-case thinking

Tools

CI/CD tooling

Job description

Ensure enterprise AI platforms and solutions are reliable, tested, and production-ready.

Remote / Hybrid Security, Quality & Reliability Full-time

Role Overview

The QA Engineer is responsible for ensuring Tactical Edge's AI platforms and customer solutions meet high standards of quality and reliability before and after deployment. The role collaborates closely with engineering, product, AI, and delivery teams to identify risks early, define test strategies, and ensure systems behave predictably in production.

What You'll Do

• Define and execute test strategies for platforms and AI-powered solutions.
• Validate functional, integration, and regression behavior across systems.
• Collaborate with engineering and product teams early in the development lifecycle.
• Identify edge cases, failure modes, and risk areas in complex systems.
• Contribute to test automation, tooling, and quality processes.
• Support release readiness and production validation.
• Analyze issues from production and help prevent regressions.
• Continuously improve QA practices and documentation.

What We're Looking For

• Experience in QA for production software systems.
• Strong understanding of testing methodologies and quality practices.
• Ability to think in terms of systems, workflows, and edge cases.
• Comfort working with developers, product managers, and delivery teams.
• Attention to detail combined with pragmatic judgment.
• Familiarity with test automation and CI/CD pipelines.
• Bonus: Experience testing AI-driven, data-heavy, or distributed systems.

How We Work

Outcome-driven

Reliable systems over rushed releases

Enterprise-first

Quality, trust, and predictability

Quality by design

Early involvement, not late fixes

Small teams, high ownership

Autonomy with accountability

What You'll Get

• Ownership of quality for production AI systems
• Exposure to enterprise-scale platforms and deployments
• Cross-functional collaboration with product, AI, and engineering teams
• Flexible work setup where applicable

Hiring Process

• 3 Cross-functional interview (engineering/product perspective)
• 4 Final conversation

We value thoughtful testing, early risk detection, and clear communication.