AI Engineer, Evaluation - 11319

Posted Yesterday
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Hiring Remotely in Bangalore, Bengaluru Urban, Karnataka, IND
In-Office or Remote
Mid level
Artificial Intelligence • Fintech • Information Technology • Logistics • Payments • Business Intelligence • Generative AI
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The Role
The AI Engineer will establish the evaluation infrastructure for AI models, ensuring they meet accuracy standards by building pipelines, benchmarks, and dashboards to monitor performance.
Summary Generated by Built In
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 a AI Engineer, Evaluation & Quality at Coupa: 
 
Coupa's AI platform serves thousands of enterprise customers, and model quality directly impacts business outcomes. The AI Engineer, Evaluation & Quality will build the evaluation infrastructure that ensures our AI models meet rigorous accuracy standards. You will design benchmarks, implement automated evaluation pipelines, and build dashboards that track model performance across iterations.

What You’ll Do

  • Build and maintain automated evaluation pipelines for AI model quality.
  • Implement task-specific benchmarks and test suites.
  • Design quality dashboards tracking accuracy, regression, and safety metrics.
  • Implement automated regression testing for every model iteration.
  • Build comparison frameworks for side-by-side evaluation of model variants.
  • Analyze evaluation results to identify failure modes and report to the ML team.
  • Maintain evaluation datasets: versioning, quality validation, coverage analysis.
  • Support A/B testing infrastructure for production model validation.

What You Will Bring to Coupa

  • 3+ years of software engineering 
  • Proficiency in Python .
  • Experience with statistical analysis and data visualization.
  • Understanding of ML model evaluation concepts (precision, recall, F1, human eval).
  • Experience building automated test frameworks and CI/CD pipelines.
  • Familiarity with dashboarding tools.
  • Strong analytical and problem-solving skills.
  • BS in Computer Science, Statistics, or equivalent experience.

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.

Skills Required

  • 3+ years of software engineering
  • Proficiency in Python
  • Experience with statistical analysis and data visualization
  • Understanding of ML model evaluation concepts (precision, recall, F1, human eval)
  • Experience building automated test frameworks and CI/CD pipelines
  • Familiarity with dashboarding tools
  • Strong analytical and problem-solving skills
  • BS in Computer Science, Statistics, or equivalent experience

What the Team is Saying

Aditya Maheshwari
Alex Moon
Jose Miguel Jimenez
Jessica Fonseca
Daniela Aristizábal

Coupa Compensation & Benefits Highlights

  • Healthcare Strength Company materials describe comprehensive healthcare and mental wellness programs for employees and their families, positioning well‑being as a core pillar of the package.
  • Leave & Time Off Breadth Generous paid time off, parental leave, and company Wellness Days are highlighted, with remote‑work flexibility available for many roles.
  • Parental & Family Support Family‑focused offerings include parental leave, fertility benefits, family medical leave, and on‑site mother’s rooms to support caregivers.

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The Company
2,500 Employees
Year Founded: 2006

What We Do

Coupa is a global technology company that helps businesses run smarter by connecting all the ways they spend money — from procurement and expenses to payments and supply chain decisions — in one intelligent platform. In simple terms, Coupa gives organizations the visibility and control they need to make better financial choices, reduce waste, and drive real impact. It’s where technology meets purpose: helping companies manage their resources more responsibly while creating a positive ripple across their people, partners, and the planet.

Why Work With Us

At Coupa, we prioritize an inclusive and empathetic workplace where every voice is valued. Our teams are proactive and accountable, ensuring we collaborate effectively to achieve our goals. The foundation of our culture rests on our people; we believe in fostering an environment that encourages innovation and curiosity.

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Coupa Offices

Remote Workspace

Employees work remotely.

Our virtual-first approach is intentional. It gives you the freedom to do your best work in a space that supports focus, balance, and creativity, while staying connected to a global team of changemakers who are redefining the future of business spend

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Uppsala, SE
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