Senior Quality Engineering Specialist – AI
Computer Aid, Inc.11 hours ago
Bengaluru, IndiaSenior
Responsibilities
- Identify opportunities to leverage AI across engineering workflows and software delivery processes.
- Design, develop, and implement AI-driven solutions that improve engineering productivity and efficiency.
- Build AI agents, copilots, and reusable workflows for software engineering use cases.
- Apply AI to requirements analysis, scenario generation, code generation, automation development, data generation, impact analysis, and defect analysis.
- Develop and maintain automation frameworks or performance engineering assets.
- Collaborate with Product, Development, Platform, QA, and Engineering teams to drive AI adoption.
- Evaluate emerging AI technologies, tools, and frameworks and recommend enterprise solutions.
- Integrate AI capabilities into engineering processes, CI/CD pipelines, and DevOps workflows.
- Analyze engineering challenges and recommend automation and AI-based improvements.
- Support implementation, testing, rollout, and continuous improvement of AI solutions.
- Provide AI-driven engineering analytics, reporting, and productivity metrics.
Requirements
- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
- 7–10 years of experience in Software Engineering, Quality Engineering, Automation, or Performance Engineering.
- UI automation experience with Selenium, Playwright, Cypress, or similar frameworks using Java or JavaScript.
- Performance engineering experience with JMeter, LoadRunner, Gatling, or similar tools.
- Hands-on experience applying AI across the Software Development Lifecycle.
- Experience building AI agents, workflows, copilots, or AI-enabled engineering solutions.
- Knowledge of AI-based requirements analysis, test scenario generation, code generation, defect analysis, and engineering automation.
- Understanding of Large Language Models, Generative AI, Prompt Engineering, and AI-assisted development tools.
- Preferred experience with Azure OpenAI, OpenAI, GitHub Copilot, Microsoft Copilot, LangChain, or similar technologies.
- Preferred experience developing AI-powered engineering productivity solutions.
- Preferred knowledge of agentic AI frameworks and multi-agent workflows.
- Preferred experience integrating AI solutions with engineering tools and platforms.
- Familiarity with Azure, AWS, or Google Cloud Platform.
Benefits
- Full-time employment with a hybrid worksite in Bengaluru.
- Reasonable accommodations are available during the application, interviewing, testing, and selection processes.
Tech Stack
Categories
About Computer Aid, Inc.
Computer Aid, Inc. (CAI) provides IT consulting, managed services, and talent solutions for public agencies and enterprises, spanning digital services, enterprise service management, data and AI, and contingent staffing. The privately held company, founded in 1981 and headquartered in Allentown, Pennsylvania, also runs its Neurodiverse Solutions program to support neurodivergent talent. CAI delivers project delivery, application support, and service desk operations across government and commercial markets.