Note: The job is a remote job and is open to candidates in USA. HirePlace is seeking an experienced QA Engineer with a strong background in artificial intelligence and machine learning systems. The role focuses on ensuring the quality, reliability, and consistency of AI-driven features, particularly those powered by large language models.

Responsibilities

• Design and execute testing strategies tailored to AI/LLM-based features, including prompt validation, regression testing, and output evaluation
• Build and maintain automated evaluation pipelines, including curated datasets and scoring frameworks to detect quality degradation over time
• Conduct exploratory and black-box testing across platforms, with a focus on edge cases, failure modes, and real-world usage scenarios
• Establish and track quality metrics such as accuracy, relevance, consistency, performance, and cost efficiency
• Collaborate with engineers, product stakeholders, and AI specialists to define expected system behavior and acceptable output ranges
• Diagnose and categorize issues across different layers, including prompts, models, data retrieval, and system integrations
• Contribute to discussions around testability, system risks, and improvements to guardrails and prompting strategies
• Help scale QA processes through improved automation, tooling, and evaluation coverage as the AI product ecosystem evolves

Skills

• 5+ years of experience in software quality assurance
• Minimum 1 year of hands-on testing experience with AI/ML systems, especially LLM-powered applications
• Strong understanding of QA methodologies across both traditional and probabilistic systems
• Experience with LLM workflows, including prompt design, retrieval-augmented generation (RAG), and evaluation tooling
• Familiarity with evaluation frameworks such as Promptfoo, Braintrust, LangSmith, DeepEval, Ragas, or similar tools
• Experience implementing qualitative evaluation techniques like LLM-as-judge, rubric scoring, semantic similarity analysis, and dataset-based regression testing
• Proficiency in test automation, with strong experience using Playwright
• Solid SQL skills for validating data, creating test datasets, and ensuring data integrity
• Understanding of operational considerations such as token consumption, latency measurement, and cost tracking

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