Roles & Responsibilities
AI Quality Engineer (LLM/NLP)
• Working Hours: Mon-Fri
• Location: Central
• Remuneration: Up to $9,000 + AWS
Job Summary
We are seeking an AI Quality Engineer to evaluate and ensure the accuracy, reliability, and performance of Large Language Models (LLMs) used in GenAI applications such as chatbots, classification tools, and RAG systems. The role focuses on identifying hallucinations, validating model behaviour, and supporting improvements through structured testing and collaboration.
Key Responsibilities
• Design and execute test cases to assess LLM accuracy, relevance, and contextual correctness.
• Detect and analyse hallucinations or fabricated outputs, and document them clearly.
• Develop automated test scripts (Python, PyTest or similar) to streamline LLM regression testing.
• Conduct functional and non-functional testing, including performance and stress tests for LLM-based systems.
• Evaluate model output quality using NLP metrics and business-specific correctness rules.
• Collaborate with AI engineers, data scientists, and product teams to improve model behaviour based on test findings.
• Perform regression testing after fine-tuning, retraining, or system updates to ensure no degradation in accuracy.
• Maintain structured documentation: test plans, test cases, test logs, and issue reports.
• Use issue tracking tools (e.g., Jira) to report and track LLM-related bugs and inconsistencies.
• Apply knowledge of LLMs, NLP concepts, and cloud-based AI environments (AWS/GCP/Azure preferred) to support comprehensive QA coverage.
Requirements
• Experience testing LLMs (e.g., GPT, BERT) for chatbots and conversational AI.
• Proficiency in test automation (PyTest, custom AI frameworks) to detect inaccuracies and hallucinations.
• Familiarity with accuracy evaluation methods for high-stakes NLP applications.
• Understanding of AI/NLP testing methodologies, including hallucination and relevance testing.
• Strong Python skills for writing test scripts and analysing model outputs.
• Ability to document and track issues using tools like Jira.
• Strong problem-solving skills to propose improvements and reduce hallucinations.
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Aloysius Tan Sheng Rong - R
ScienTec Consulting Pte Ltd - 11C5781
Tell employers what skills you have
Machine Learning
Manual Testing
Ethics of artificial intelligence
Quality Assurance
Stress
Regression Testing
Artificial Intelligence
Agile
Scripting
Test Cases
Test Automation
Reliability
JIRA
Python
Software Testing
Writing
Artificial Intelligence Application
Selenium
Consulting
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