We are seeking a QA Engineer with expertise in Agentic AI, Generative AI testing, and API/database validation. The ideal candidate should have exposure to LLMs, RAG architectures, prompt testing, and traditional testing methodologies.

Key Responsibilities
- Design, develop, and execute test strategies for AI-powered and Agentic AI applications.
- Validate Large Language Model (LLM) outputs for accuracy, consistency, and reliability.
- Test prompt engineering workflows and optimize prompts for performance and stability.
- Perform API testing for RESTful and SOAP services.
- Execute database testing using SQL queries for data validation and integrity checks.
- Validate RAG pipelines including embeddings, vector databases, and retrieval mechanisms.
- Collaborate with AI engineers, developers, and business teams for requirement analysis and test planning.
- Identify defects, track issues, and ensure high-quality AI application delivery.




- Support automation and Python-based testing initiatives.

Required Skills
- 3+ years of experience in software testing and QA.
- Positive understanding of LLMs, Generative AI, and Agentic AI concepts.
- Exposure to frameworks such as LangChain, LlamaIndex, CrewAI, or similar.
- Strong understanding of RAG architectures and vector databases.
- Experience in prompt engineering and AI response validation.
- Hands-on experience in API testing and database testing.
- Knowledge of SQL and Python.
- Strong analytical and debugging skills.

Preferred Skills
- Experience in automation testing frameworks.
- Exposure to AI model evaluation metrics and testing methodologies.
- Familiarity with Agile/Scrum practices.

Educational Qualification
- Bachelors degree in Computer Science, IT, or related field.

📌 Agentic AI with Testing (India)
🏢 Gemsource It Consulting
📍 India