1 month ago

AI Quality Assurance Engineer

Exari Systems

On Site
Full Time
$150,000
Pune Division, Maharashtra, India
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Job Overview

Job TitleAI Quality Assurance Engineer
Job TypeFull Time
Offered Salary$150,000
LocationPune Division, Maharashtra, India

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Job Description

About Coupa AI

Coupa makes margins multiply through its community-generated AI and industry-leading total spend management platform for businesses large and small. Coupa AI is informed by trillions of dollars of direct and indirect spend data across a global network of 10M+ buyers and suppliers. We empower you with the ability to predict, prescribe, and automate smarter, more profitable business decisions to improve operating margins.

Why join Coupa?

  • Pioneering Technology: At Coupa, we're at the forefront of innovation, leveraging the latest technology to empower our customers with greater efficiency and visibility in their spend.
  • Collaborative Culture: We value collaboration and teamwork, and our culture is driven by transparency, openness, and a shared commitment to excellence.
  • Global Impact: Join a company where your work has a global, measurable impact on our clients, the business, and each other.

Learn more on Life at Coupa blog and hear from our employees about their experiences working at Coupa.

The Impact Of An AI Quality Assurance Engineer At Coupa

We are seeking a detail-oriented AI Quality Assurance Engineer to ensure the quality, reliability, and safety of our generative AI solutions built on Google Cloud's AI ecosystem. This role is a core part of our AI Delivery team, responsible for designing and executing comprehensive testing strategies for AI agents and solutions developed with Google ADK (Agent Developer Kit), Vertex AI, and related Google Cloud services.

This position combines QA expertise with AI-specific testing methodologies, ensuring that our agentic AI solutions meet quality standards, perform reliably in production, and adhere to responsible AI principles. The AI Quality Assurance Engineer will partner closely with AI Architects, Agentic AI Developers, and business stakeholders to validate solutions from concept through production deployment within the Google Cloud environment.

Key skills/competency

  • AI Quality Assurance
  • Generative AI
  • Google Cloud
  • Vertex AI
  • AI Testing
  • Reliability Engineering
  • Safety Testing
  • Agent Developer Kit (ADK)
  • Responsible AI
  • Production Deployment

Tags:

AI Quality Engineer
AI Quality Assurance
Generative AI
AI Testing
Reliability Engineering
Safety Testing
Quality Standards
Validation
Agentic AI
Solutions Testing
Production Deployment
Google Cloud
Vertex AI
Google ADK
Cloud Services
AI Ecosystem
Machine Learning
Cloud Computing
AI Agents
Data Quality
Automation

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How to Get Hired at Exari Systems

  • Research Coupa's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor to align with their collaborative and innovative environment.
  • Tailor your resume for AI QA: Customize your application to highlight expertise in AI quality assurance, generative AI, and Google Cloud technologies, emphasizing projects involving Vertex AI or Google ADK.
  • Showcase AI testing methodologies: Be prepared to discuss your experience in designing and executing comprehensive testing strategies specifically for AI agents and solutions, including reliability and safety.
  • Master Google Cloud AI ecosystem: Demonstrate in-depth knowledge of Google Cloud services relevant to AI development and quality assurance, particularly Vertex AI and the Agent Developer Kit.
  • Emphasize responsible AI: Highlight your understanding and application of responsible AI principles in testing and validation processes, ensuring ethical and safe AI deployments at Coupa.

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