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We are seeking an AI Tester to support the development and quality validation of an upcoming Large Language Model (LLM) project. This role focuses on using AI tools such as ChatGPT and similar platforms to design test scenarios, generate test cases, validate outputs, and improve overall model quality during the development lifecycle.
The ideal candidate should be comfortable experimenting with AI tools, evaluating generated outputs, identifying gaps or inconsistencies, and contributing to the creation of reliable AI-driven solutions.
Key Responsibilities
The ideal candidate should be comfortable experimenting with AI tools, evaluating generated outputs, identifying gaps or inconsistencies, and contributing to the creation of reliable AI-driven solutions.
Key Responsibilities
- Use ChatGPT and other AI/LLM tools to generate and refine test cases, prompts, and validation scenarios.
- Design functional, negative, edge-case, and behavioral test scenarios for LLM-based applications.
- Validate model outputs for accuracy, consistency, logic, formatting, and business relevance.
- Identify hallucinations, incorrect responses, bias, or incomplete outputs from AI systems.
- Assist in prompt testing, response evaluation, and quality benchmarking.
- Create datasets and expected result validations for AI output testing.
- Collaborate with developers, AI engineers, and product teams during the LLM development phase.
- Document observations, defects, test findings, and improvement recommendations.
- Support continuous enhancement of AI testing processes and evaluation frameworks.
- Strong analytical and critical thinking skills.
- Familiarity with ChatGPT or other generative AI tools.
- Understanding of software testing concepts and QA processes.
- Ability to evaluate and validate AI-generated outputs logically and contextually.
- Good documentation and communication skills.
- Attention to detail and curiosity to explore edge cases and AI behavior.
- Bachelor’s degree in Computer Science, IT, Engineering, Data Science, or related field.
- Experience in QA/testing, prompt engineering, or AI-assisted workflows is an advantage.
- Basic understanding of APIs, automation testing, or scripting is preferred.
- Exposure to NLP, Generative AI, or LLM concepts is a plus.
Key Skills
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- Posted
- May 19, 2026
- Type
- Full-time
- Level
- Not Applicable
- Location
- Job
- Company
- TechnoXander
Industries
Banking
Categories
Engineering
Information Technology
Related Jobs
3 roles aligned with this opportunity
View Job Details
Related
Kafka DevOps Engineer
2026-05-19
Full-time
Associate
Romania
Banking
Information Technology
View Job Details
Related
Artificial Intelligence Security Specialist EMEA
2026-05-26
Full-time
Not Applicable
Poland
Banking
Engineering
View Job Details
Related
AI Engineer
2026-05-20
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