GenAI / LLM Agent Test Engineer

Experience : 5 to 9 Years

Location : Bangalore

Job Summary:

We are looking for a GenAI / LLM Agent Test Engineer to assure quality, reliability, and responsible behavior of LLMbased and RAGbased agents, including singleagent and multiagent workflows. The role focuses on prompt engineering, hallucination detection, agent reasoning validation, and automated evaluation of GenAI outputs using contemporary LLM testing frameworks.

Key Responsibilities:
Test and validate LLMbased and RAGbased agents, including reasoning, memory, and decisionmaking behavior
Design and execute prompt engineering and adversarial testing to uncover hallucinations, bias, and edge cases
Perform hallucination testing, relevance checks, and factual accuracy validation
Implement unit tests for LLMs using LLMasaJudge techniques
Validate agent reasoning chains, memory states, and conversation persistence
Embed LLMs within testing pipelines to:
Detect hallucinations




Run adversarial prompt testing
Perform automated evaluation of agent outputs
Ensure AI Ethics and Responsible AI compliance in testing coverage
Collaborate with platform, data, and GenAI teams for continuous quality improvement

Qualifications and Skills:
Bachelors or master’s degree in computer science, Engineering, Data Science, or equivalent experience.
6+ years of experience in QA automation or software engineering.
3+ years of experience working with AIdriven automation or intelligent testing frameworks.
Minimum 2 years of handson experience in building or testing AIbased tools or platforms.

Must Have Tools
LangChain + LangSmith
DeepEval
Python (LLM testing harnesses)
OpenAI / Azure OpenAI APIs
Git + CI integration
AWS AgentCore
AWS CloudWatch / Grafana / Prometheus
Cursor AI / GitHub Copilot / Claude CLI

📌 Genai / Agent Testing Engineer Bengaluru (India)
🏢 PwC
📍 India