Quality Assurance Engineer

Risewave Consulting Inc.; Taguig; On-site; PHP 600,000 - 1,200,000; Full time

Job summary

Risewave Consulting Inc. is seeking an Automation QA Engineer to define, implement, and continuously improve QA practices for AI-enabled solutions. The role focuses on accuracy, reliability, and safety, with automated evaluation and monitoring to maintain production readiness.

You will build automated evaluation harnesses, implement continuous monitoring, and collaborate with developers to refine prompts and workflows while ensuring compliance with data privacy standards.

Qualifications

• Minimum 3 years in QA, test automation, or DevOps roles (or 2 years with AI/ML testing exposure).
• Strong Python skills for test automation and data analysis.
• Attention to detail with focus on reliability and user trust.
• Experience with evolving tools and testing practices.
• Collaborative mindset applying evidence-based insights to product decisions.
• Proficiency in Python for automation, evaluation harnesses, and data analysis.
• Familiarity with UI automation using Playwright and API/workflow validation.
• Experience with AI evaluation frameworks and monitoring practices.

Responsibilities

• Define quality criteria and testing strategies for agent workflows, including accuracy and safety.
• Build automated evaluation harnesses to assess agent performance and compliance.
• Implement continuous production monitoring to detect anomalies and quality degradation.
• Develop and maintain automated test suites using Playwright and custom scripts.
• Apply LLM evaluation frameworks to assess output quality and drift.
• Produce dashboards and reports communicating quality metrics to engineering.
• Develop runbooks and contribute to incident response.
• Collaborate with developers to improve prompts, tool definitions, and workflows.
• Ensure testing and monitoring align with data privacy and regulatory requirements.

Skills

Python

QA automation

Playwright

DevOps

Data analysis

Monitoring

Anomaly detection

Collaboration

Scripting

Tools

Playwright

Deepeval

RAGAS

Evidently.AI

API scripting

Job description

About the role

The Automation QA Engineer defines, implements, and continuously improves quality assurance practices for AI-enabled and agent-based solutions. The role ensures systems meet agreed standards for accuracy, reliability, performance, safety, and compliance, and supports operational readiness through automated evaluation and monitoring.

Key responsibilities

• Define quality criteria and testing strategies for agent workflows, covering accuracy, latency, safety, compliance, and operational risk

• Build automated evaluation harnesses to assess agent performance, including hallucination rates, tool misuse, policy violations, and task success

• Implement continuous production monitoring to detect anomalies, quality degradation, and emerging safety concerns

• Develop and maintain automated test suites using Playwright for UI testing and custom scripts for API and workflow validation

• Apply LLM evaluation frameworks to assess output quality, regression, and system drift over time

• Produce and maintain dashboards and reports that communicate quality metrics and trends to engineering and stakeholders

• Develop and maintain runbooks for common failure modes and contribute to incident response activities

• Collaborate closely with developers to improve prompts, tool definitions, and workflow designs based on test results

• Ensure testing, logging, and monitoring practices align with data privacy, audit, and regulatory requirements

About you

• Minimum 3 years' experience in QA, test automation, or DevOps roles (or 2 years with direct experience testing AI or ML-enabled systems)

• Strong Python skills for test automation, evaluation harnesses, and basic data analysis

• High attention to detail, with a focus on issues that materially impact reliability and user trust

• Comfort working with evolving tools, frameworks, and testing practices

• Collaborative mindset, using evidence-based insights to influence product and engineering decisions

• Programming: Python (test automation, evaluation harnesses, data analysis)

• UI Automation: Playwright (end-to-end workflow testing)

• AI Evaluation: Deepeval, RAGAS, Evidently.AI (LLM quality, drift, and regression analysis)

• Workflow Testing: API and agent workflow validation using custom scripts

• Monitoring: Production quality monitoring and anomaly detection