Sr. QA Specialist (Conversational AI Testing)

Test Automation Proficiency: Strong hands-on experience with test automation frameworks and tools (e.g., Selenium, Cypress, Postman, REST Assured, or equivalent); ability to write clean, maintainable automation code. Prompt Engineering Expertise: Demonstrated experience designing, testing, and validating prompts for language models; understanding of prompt injection, jailbreaking, and safety considerations.

Remote with occassional onsite visit. Role Will require occasional onsite meetings during the duration of the contract.

Final interview in person

Possible roll over to FTE

Position Overview
We are seeking an experienced Senior QA Engineer to lead quality assurance efforts for our conversational AI applications. This role requires deep expertise in testing AI-driven systems, prompt engineering validation, and test automation. You will be responsible for designing comprehensive test strategies, identifying edge cases in AI behavior, and ensuring our conversational AI products meet the highest standards of reliability, accuracy, and security.

Key Responsibilities
AI Application Testing: Design and execute test plans specifically for conversational AI systems, including chatbots, virtual assistants, and language model-based applications
Prompt Engineering Validation: Collaborate with AI/ML teams to test and validate prompt effectiveness, consistency, and safety across various user scenarios
Test Automation Development: Build and maintain automated test suites for conversational AI workflows, including API testing, response validation, and regression testing
Quality Strategy: Develop QA strategies that address unique challenges of AI testing, including non-deterministic outputs, hallucination detection, and bias identification
Security & Compliance: Ensure testing aligns with organizational security standards, including HIPAA compliance (Standard 4500), information protection requirements (Standard 5110), and access control protocols
Documentation & Reporting: Create detailed test cases, defect reports, and quality metrics; communicate findings to stakeholders
Cross-functional Collaboration: Work with product, engineering, and AI/ML teams to understand requirements and validate solutions

Required Qualifications
5+ years of QA experience, with at least 2+ years testing AI/ML-based applications or conversational systems
Prompt Engineering Expertise: Demonstrated experience designing, testing, and validating prompts for language models; understanding of prompt injection, jailbreaking, and safety considerations
Test Automation Proficiency: Strong hands-on experience with test automation frameworks and tools (e.g., Selenium, Cypress, Postman, REST Assured, or equivalent); ability to write clean, maintainable automation code
Technical Skills: Proficiency in at least one programming language (Python, Java, JavaScript, or similar); familiarity with API testing and CI/CD pipelines
AI/Conversational AI Knowledge: Understanding of how conversational AI systems work, including LLMs, NLP concepts, and common failure modes
Analytical Mindset: Strong problem-solving skills with ability to identify edge cases and non-obvious failure scenarios in AI systems
Communication: Excellent written and verbal communication skills; ability to explain technical QA concepts to non-technical stakeholders

Preferred Qualifications
Experience testing multiple AI platforms (OpenAI, Google Vertex AI, Azure OpenAI, Anthropic Claude, etc.)
Familiarity with AI safety testing frameworks and bias detection methodologies
Experience with performance and load testing for AI applications
Knowledge of HIPAA, SOC 2, or other healthcare/regulated industry compliance requirements
Certification in QA, test automation, or related field
Experience with agile/scrum methodologies
Background in healthcare, financial services, or other regulated industries
Technical Competencies
Test case design and execution
Test automation and scripting
API and integration testing
Performance and load testing
Defect tracking and reporting
SQL and database query basics
Version control systems (Git)
Prompt engineering and LLM interaction
Security and compliance testing

Required Experience:
5-8 years of Professional experience in an IT related field preferably in a development or testing environment

REQUIRED EDUCATION:
Bachelor s Degree in an IT related field or relevant work experience

EEO:
Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.