AI Quality Assurance Engineer - 11100
Exari Systems · Pune Division, Maharashtra, India
- On site
- Full-time
- $120,000 / year
- Pune Division, Maharashtra, India
Job highlights
- Ensure quality of generative AI solutions on Google Cloud.
- Design and execute AI agent testing strategies.
- Collaborate with AI Architects and Developers.
- Validate solutions from concept to production.
- Adhere to responsible AI principles.
About the role
AI Quality Assurance Engineer - Coupa
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 Engineer At Coupa
We are seeking a detail-oriented AI Quality 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 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.
Coupa complies with relevant laws and regulations regarding equal opportunity and offers a welcoming and inclusive work environment. Decisions related to hiring, compensation, training, or evaluating performance are made fairly, and we provide equal employment opportunities to all qualified candidates and employees.
Please be advised that inquiries or resumes from recruiters will not be accepted.
By submitting your application, you acknowledge that you have read Coupa’s Privacy Policy and understand that Coupa receives/collects your application, including your personal data, for the purposes of managing Coupa's ongoing recruitment and placement activities, including for employment purposes in the event of a successful application and for notification of future job opportunities if you did not succeed the first time. You will find more details about how your application is processed, the purposes of processing, and how long we retain your application in our Privacy Policy.
Key skills/competency
- AI Quality Assurance
- Generative AI
- Google Cloud Platform (GCP)
- Vertex AI
- Agent Developer Kit (ADK)
- Testing Strategies
- Reliability Engineering
- Responsible AI
- Quality Assurance
- AI Solutions
Skills & topics
- AI Quality Assurance Engineer
- Generative AI
- Google Cloud
- Vertex AI
- AI Testing
- Quality Assurance
- Software Development
- Tech
- Engineering
- Artificial Intelligence
How to get hired
- Customize your resume: Highlight your AI testing experience and Google Cloud skills.
- Tailor your application: Emphasize your understanding of generative AI and quality assurance principles.
- Prepare for technical interviews: Brush up on AI testing methodologies and Google Cloud services.
- Showcase collaboration: Provide examples of successful teamwork with AI developers and stakeholders.
- Research Coupa's values: Align your experience with their focus on innovation and impact.
Technical preparation
Behavioral questions
Frequently asked questions
- What is the primary focus of the AI Quality Assurance Engineer role at Coupa?
- The primary focus is to ensure the quality, reliability, and safety of Coupa's generative AI solutions built on Google Cloud, specifically utilizing tools like Google ADK and Vertex AI.
- What are the key technologies and platforms mentioned for this AI Quality Assurance Engineer position at Coupa?
- The key technologies and platforms include Google Cloud, Google ADK (Agent Developer Kit), and Vertex AI, as well as generative AI solutions and AI agents.
- Who will the AI Quality Assurance Engineer collaborate with at Coupa?
- This role involves close collaboration with AI Architects, Agentic AI Developers, and business stakeholders to validate AI solutions throughout their lifecycle.
- What is Coupa's stance on equal employment opportunities for an AI Quality Assurance Engineer?
- Coupa is committed to equal employment opportunities, ensuring fair decisions in hiring, compensation, training, and performance evaluation for all qualified candidates.
- What should I do if I am a recruiter interested in this AI Quality Assurance Engineer role at Coupa?
- Coupa does not accept inquiries or resumes from recruiters for this position. Please refrain from applying if you are a recruiter.
- How does Coupa handle applicant data for the AI Quality Assurance Engineer position?
- By applying, you acknowledge Coupa's Privacy Policy. Your data is collected for recruitment management, potential employment, and future job opportunity notifications.
- What kind of testing methodologies are relevant for this AI Quality Assurance Engineer role at Coupa?
- The role requires expertise in AI-specific testing methodologies alongside traditional QA, focusing on the quality, reliability, and responsible AI principles of agentic AI solutions.