About the Role
AI / LLM Engineer Engagement Type: Full-time
Experience: 5–8 years
Role Overview
We are looking for an AI / LLM Engineer with hands-on experience building agentic AI workflows to convert written product requirements into executable test scenarios. The role focuses on prompt engineering, agent orchestration, and structured output generation , not model training.
Key Responsibilities
Design and implement agentic workflows that:
Interpret requirement documents (PRDs, Confluence pages)
Extract user behaviors and test scenarios
Build LLM-powered agents that produce:
Structured scenario representations
BDD / Gherkin-formatted test cases
Integrate LLM outputs with:
UI automation flows (Playwright-based)
Enforce:
Strict output schemas
Controlled behavior to avoid hallucination
Iterate prompts and agent logic based on QA feedback
Support demos and POC reviews
Required Skills
Hands-on experience with Large Lang...
Experience: 5–8 years
Role Overview
We are looking for an AI / LLM Engineer with hands-on experience building agentic AI workflows to convert written product requirements into executable test scenarios. The role focuses on prompt engineering, agent orchestration, and structured output generation , not model training.
Key Responsibilities
Design and implement agentic workflows that:
Interpret requirement documents (PRDs, Confluence pages)
Extract user behaviors and test scenarios
Build LLM-powered agents that produce:
Structured scenario representations
BDD / Gherkin-formatted test cases
Integrate LLM outputs with:
UI automation flows (Playwright-based)
Enforce:
Strict output schemas
Controlled behavior to avoid hallucination
Iterate prompts and agent logic based on QA feedback
Support demos and POC reviews
Required Skills
Hands-on experience with Large Lang...
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