The Role
Build AI-assisted browser automation and automated tests for web applications, APIs, and data workflows using Playwright, Stagehand, and Python. Integrate LLM APIs, CI/CD pipelines, monitoring, logging, metrics, and reporting dashboards. Develop reusable automation frameworks, evaluate deterministic versus AI-driven approaches, improve reliability, and optimize AI performance and costs.
Summary Generated by Built In
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
Skills Required
- 2-5 years of software engineering, QA automation, or automation engineering experience
- Python programming experience
- Experience with async/await patterns and concurrent programming
- 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 deterministic versus probabilistic automation
- Exposure to LLMs, AI APIs, or AI automation tooling
- Basic understanding of prompt engineering concepts
- Understanding of automation cost-benefit trade-offs
- Experience balancing speed, reliability, and maintainability
- Experience working with CI/CD pipelines
- Familiarity with containerized or cloud-hosted environments
- Familiarity with SQL databases such as MySQL or PostgreSQL
- TypeScript or JavaScript experience
- Exposure to Stagehand or similar AI agent automation frameworks
- Experience with SaaS or multi-tenant web platforms
- Experience with API automation or integration testing
- Exposure to observability or monitoring tools
- Experience with email processing, PDF generation, or document workflows
- Experience with Salesforce APIs or other CRM integrations
- Knowledge of distributed task queues such as Celery, RabbitMQ, or Redis
- Experience with Kubernetes or container orchestration
- Understanding of pytest or similar Python testing frameworks
- Experience with observability tools such as Sentry or Datadog
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
We design & develop world-class digital products and custom software for Startups, Scale-ups & Enterprises with our world-class engineering team. We assemble a great team of frontend, backend, full-stack, QA automation, UI/UX, DevOps, data science, machine learning, and agile experts to help our clients propel their pursuit of digital excellence. Our engineering community at QualMinds is always passionate about building customer-centric software with the highest quality, performance, security, scalability, and lowest failure rates
.jpeg)
