AI Automation Engineer (Browser Automation + AI Tooling)

AI Automation Engineer (Browser Automation + AI Tooling)

About QualMinds:

QualMinds is a global technology company dedicated to empowering clients on their digital transformation journey. We help our clients to design & develop world-class digital products, custom software and platforms. Our primary focus is delivering enterprise grade interactive software applications across web, desktop, mobile, and embedded platforms.

Position Summary:

We are seeking an AI Automation Engineer to help design and build intelligent automation systems using modern AI tooling and browser automation frameworks such as Stagehand and Playwright. This role focuses on developing automation workflows for testing, quality assurance, monitoring, and operational efficiency across web platforms and digital products. The ideal candidate has strong automation fundamentals and is excited to work with emerging AI-driven automation approaches.

Key Responsibilities - Automation Development

• Build and maintain automation workflows using AI-assisted tooling (Stagehand or similar)
• Develop browser automation suites using Playwright
• Contribute to prompt-driven automation and agent workflows
• Support development of reusable automation utilities and frameworks

Key Responsibilities - QA and Platform Automation

• Build automated tests for UI, APIs, and data workflows
• Support regression and functional automation suites
• Help automate monitoring and validation workflows
• Integrate automation into CI/CD pipelines

Key Responsibilities - AI / LLM Integration

• Assist in integrating LLM APIs into automation workflows
• Contribute to prompt design and evaluation workflows
• Help implement guardrails and validation checks
• Support performance and cost optimization of AI usage

Key Responsibilities - Observability and Reporting

• Help build automation reporting dashboards
• Instrument automation with logging and metrics
• Support troubleshooting automation failures

Key Responsibilities - Engineering Judgment & AI Usage

• Understand when to use traditional deterministic automation vs. AI-driven approaches
• Recognize scenarios where AI introduces unnecessary complexity or cost
• Implement stable, selector-based automation for predictable UI patterns
• Reserve AI for truly dynamic or unpredictable scenarios
• Balance automation speed, cost, and reliability when choosing implementation approaches
• Document automation decisions and trade-offs

Required Qualifications - Engineering Fundamentals

• 2-5 years of software engineering, QA automation, or automation engineering experience
• Python (required)
• TypeScript / JavaScript (preferred for some roles)
• Experience with async/await patterns and concurrent programming

Required Qualifications - Automation Experience

• Hands-on experience with Playwright or similar browser automation frameworks
• Experience automating web application workflows
• Ability to write robust CSS selectors and XPath expressions
• Experience working with dynamic content and asynchronous page loading patterns
• Understanding of when to use deterministic vs. probabilistic automation

Required Qualifications - AI and Modern Tooling Exposure

• Exposure to LLMs, AI APIs, or AI automation tooling
• Basic understanding of prompt engineering concepts
• Ability to recognize when AI should NOT be used: - Stable, predictable UI patterns (use traditional selectors) - Performance-critical paths (AI adds latency) - Cost-sensitive operations (AI calls have API costs) - Scenarios requiring deterministic behavior (compliance, legal)
• Understanding of automation cost/benefit trade-offs
• Experience balancing speed, reliability, and maintainability

Required Qualifications - DevOps and Platform Fundamentals

• Experience working with CI/CD pipelines
• Familiarity with containerized or cloud-hosted environments
• Familiarity with SQL databases (MySQL, PostgreSQL, etc.)

Preferred Qualifications

• Exposure to Stagehand or similar AI agent automation frameworks
• Experience working on SaaS or multi-tenant web platforms
• Experience with API automation or integration testing
• Exposure to observability or monitoring tools
• Experience working in production web environments
• Experience with email processing, PDF generation, or document workflows
• Experience with Salesforce APIs or other CRM integrations
• Knowledge of distributed task queues (Celery, RabbitMQ, Redis)
• Experience with Kubernetes or container orchestration
• Understanding of pytest or similar Python testing frameworks
• Experience with observability tools (Sentry, Datadog, etc.)

Success Metrics (First 6-12 Months)

• Contribute to production automation workflows
• Reduce manual testing through expanded automation coverage
• Improve automation reliability and reporting
• Help build reusable automation components and patterns

Work Environment

• Collaborative engineering and product teams • Modern cloud and automation tooling
• Opportunity to work directly with emerging AI technologies
• Fast-paced, innovation-focused environment