ACI is seeking a Quality Assurance Engineer with strong automation, performance, and API testing expertise, along with hands-on experience validating AI-enabled products and systems. The ideal candidate will combine deep QA engineering skills with modern software development practices, strong programming ability, and familiarity with AI-assisted development and AI/ML system testing.
Key Responsibilities:

- Design, develop, and maintain automated test suites for web, API, and distributed systems.
- Perform hands-on code writing and code reviews for test automation and quality engineering work.
- Evaluate complex user requests and clarify functional and technical requirements for new or modified applications.
- Build and execute test strategies across functional, regression, integration, performance, and end-to-end testing.
- Conduct feasibility studies for new applications and existing systems, and make sound decisions within defined parameters.
- Improve and sustain software quality using strong domain knowledge and engineering best practices.
- Collaborate across product, engineering, and platform teams to solve quality and reliability issues.
- Contribute to hiring activities, team collaboration, and knowledge sharing.
- Uphold quality standards and mentor junior team members on testing practices and engineering excellence.

Required Skills and Experience:

- Strong experience in QA, SDET, or Quality Engineering roles.
- Hands-on experience with Playwright, Selenium, Cypress, or similar automation frameworks.
- Strong programming skills in TypeScript and/or Python.
- Experience in API testing and validating distributed systems.
- Performance testing expertise with tools such as k6, JMeter, or Locust.
- Solid understanding of the software development lifecycle and Agile methodologies.




- Experience with automated unit and integration testing tools such as JUnit, TestNG, Rest-Assured, Karate, or Cucumber.
- Familiarity with mobile testing tools such as Appium or Espresso is a plus.
- Experience with CI/CD pipelines using Jenkins or GitHub Actions.
- DevOps familiarity, including Docker and/or Kubernetes, is a strong plus.
- Strong understanding of design patterns and architectural principles for scalable, maintainable systems.

AI-Related Skills and Experience:

- This role specifically requires candidates who can support AI-driven products and workflows. Ideal candidates should have:
- Experience testing AI/ML systems, including LLMs, RAG pipelines, and agentic workflows.
- Familiarity with validating AI outputs for accuracy, consistency, safety, latency, and reliability.
- Understanding of how to test systems that use prompting, retrieval, tool use, and multi-step orchestration.
- Experience using or evaluating AI-assisted development tools such as Claude Code, GitHub Copilot Cursor or similar tools.
- Ability to design test strategies for AI features where outputs may be probabilistic rather than deterministic.
- Comfort working with engineering teams building AI-enabled applications, copilots, or multi-agent systems.

Preferred Qualifications:

- Experience in frontend testing with React and TypeScript.
- Background in performance and capacity planning for distributed and mobile environments.
- Exposure to cloud-native engineering practices and scalable test infrastructure.
- Experience mentoring others and raising quality standards across teams.

What Success Looks Like:

- High-confidence automated coverage across critical user journeys.
- Reliable validation of AI-powered features and workflows.
- Robust collaboration with engineering teams to prevent defects early.
- Improved release quality, performance, and maintainability across products.

📌 Advanced Engineer Quality (Bengaluru)
🏢 Albertsons Companies India
📍 Bengaluru