Role & responsibilities
Validate the entire agentic lifecycle, starting from user intent and prompting through agent reasoning and routing.
Ensure accurate MCP tool execution and conduct thorough end-to-end workflow validation.
Utilize robust observability skills to monitor and assess the effectiveness of workflows.
Employ automation techniques to streamline testing and validation processes.
Conduct AI quality assessments to ensure optimal functionality and performance of the system.
Collaborate with cross-functional teams to refine and enhance lifecycle validation methodologies.

Mandatory skill sets:
Robust experience in Agentic AI testing and validation.
Must have hands-on knowledge of MCP testing, including tool invocation validation, payload/schema validation, orchestration, error handling, retries, and API/integration testing.
Experience with AI observability and tracing tools such as LangFuse, Phoenix,



or similar platforms for debugging, root cause analysis, and agent behavior validation.
Solid understanding of AI quality metrics including hallucination detection, accuracy, correctness, groundedness, consistency, determinism, and latency.
Experience designing and executing prompt testing strategies, including multi-turn, multi-hop ambiguous, negative, and guardrail/jailbreak scenarios.
Understanding of intent recognition, routing validation, agent selection, context retention, memory validation, and reasoning/planning validation.
Ability to create test strategies, evaluation rubrics, golden datasets, and quality metrics for AI systems.
Experience with API testing and automation frameworks (e.g., Postman, Katalon, Playwright, or equivalent).

📌 Agentic Ai Testing Engineer Gurugram
🏢 PwC India
📍 Gurugram