Sr QA Engineer

Anblicks; Hyderabad; On-site; INR 600,000 - 1,000,000; Full time

Job summary

A tech company in Hyderabad is seeking a QA Engineer to oversee quality assurance for an intelligent document extraction solution. This role involves validating AI-driven extraction accuracy, managing test cases, and ensuring compliance with security controls. The ideal candidate has 4-6 years of experience in software QA, particularly in AI or data pipeline testing. Familiarity with Azure services and strong defect tracking skills are crucial. The position offers a chance to contribute to innovative solutions while ensuring high-quality outputs.

Qualifications

• 4–6 years of experience in software QA with exposure to AI or data pipeline testing.
• Experience testing API-driven integrations and document processing workflows.
• Familiar with Azure services preferred.

Responsibilities

• Author, execute, and maintain functional, integration, and regression test cases.
• Validate extraction accuracy and verify field values against expected outputs.
• Design and execute end-to-end integration test scenarios.

Skills

Software QA

AI or data pipeline testing

API-driven integrations testing

Attention to detail

Defect tracking

Tools

Azure SQL

Power Automate

Azure DevOps

Job description

About the Role

We are looking for a QA Engineer to own quality assurance for an intelligent document extraction solution. This role will validate both the AI‑driven extraction accuracy and the application integrations, ensuring the solution meets functional, compliance, and performance standards before production rollout.

Key Responsibilities

• Author, execute, and maintain functional, integration, and regression test cases covering all document types in scope.
• Validate LLM extraction accuracy, verify field values, null handling, business rule logic, and conditional extraction rules against expected outputs.
• Design and execute end‑to‑end integration test scenarios covering the full pipeline from document ingestion through AI processing to data persistence and downstream system integration.
• Track, manage, and report defects; coordinate resolution with the development and AI architecture teams.
• Validate PII data handling and ensure compliance with enterprise governance and security controls.
• Perform regression testing after changes to prompts, field schemas, or model versions.
• Support UAT with business stakeholders and operations teams.

Required Skills & Experience

• 4–6 years of experience in software QA with exposure to AI or data pipeline testing.
• Experience testing API‑driven integrations and document processing workflows.
• Familiarity with Azure services (Azure SQL, Power Automate) preferred.
• Strong defect tracking and test management skills (Azure DevOps or equivalent).
• Ability to validate structured data outputs (JSON) against business rules and field schemas.
• Attention to detail for compliance‑sensitive, PII‑handling scenarios.
• Experience in financial services or lending domain is a plus.