Mid-Level AI Software Test Engineer

Job Description

We are seeking a Mid-Level AI Software Test Engineer to lead the quality assurance, validation, and automation efforts for AI-powered applications, machine learning systems, AI agents, copilots, and generative AI solutions. This role combines traditional software quality engineering practices with emerging AI testing methodologies to ensure AI systems are accurate, reliable, secure, scalable, and production-ready.

Professional Experience

• Develop and execute comprehensive testing strategies for AI applications, platforms, and services.
• Validate AI-generated outputs for accuracy, consistency, relevance, reliability, and safety.
• Create and maintain test cases for prompt-driven applications, AI agents, RAG systems, and workflow orchestration platforms.
• Conduct adversarial, negative, and edge-case testing to identify hallucinations, unsafe behavior, model drift, and failure scenarios.
• Establish quality benchmarks and acceptance criteria for AI solutions.
• Design, build, and maintain automated test frameworks for AI applications and services.
• Develop automated evaluation pipelines to assess AI responses, workflows, and model behavior.
• Integrate AI testing processes into CI/CD pipelines.
• Create reusable test datasets, simulators, mocks, and validation frameworks to support scalable testing.
• Test AI agents, copilots, APIs, workflow engines, MCP integrations, and tool-calling capabilities.
• Validate integrations with enterprise systems, external APIs, databases, and knowledge repositories.
• Execute load, stress, and performance testing for AI applications and services.
• Participate in solution design reviews and provide quality-related recommendations early in the development lifecycle.
• Support production readiness reviews, defect triage, root cause analysis, and continuous improvement initiatives.
• Promote responsible AI practices and help ensure alignment with organizational governance, privacy, risk, and compliance requirements.

Required Qualifications

• Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related technical field.
• 3–6 years of experience in software testing, quality assurance, quality engineering, or test automation.
• Experience developing automated testing solutions using one or more of the following: Python, Java, JavaScript / TypeScript, C#.
• Strong understanding of: Test automation methodologies, Software Development Lifecycle (SDLC), Agile development practices, CI/CD pipelines and DevOps principles.
• Experience testing distributed systems, web applications, APIs, and enterprise platforms.
• Strong analytical, troubleshooting, and problem-solving skills.
• Excellent verbal and written communication skills.

Preferred Qualifications

• Experience testing: Generative AI applications, LLM-based systems, AI agents and autonomous workflows, Retrieval-Augmented Generation (RAG) solutions, MCP-based integrations.
• Familiarity with leading AI platforms and models, including OpenAI, Azure OpenAI, Anthropic Claude, Google Gemini.
• Experience developing AI evaluation, benchmarking, and validation frameworks.
• Experience testing cloud-native applications on Microsoft Azure, Amazon Web Services (AWS), Google Cloud Platform (GCP).
• Knowledge of: Responsible AI principles, AI governance frameworks, AI risk management and compliance practices, Privacy and security considerations for AI systems.

EEO Employer

We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law.

Everforth Apex Benefits Overview

Everforth Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Everforth Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Everforth Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our ‘Welcome Packet’ as well, which an Everforth Apex team member can provide.