Staff Engineer - SDET (AI)

Location: Bangalore, India

Company

hirify.global builds an AI-native enterprise talent platform for hiring and talent workflows, operating globally across cloud environments and supporting users in more than 100 countries and 30+ languages.

What you will do

• Define end-to-end test architecture, quality standards, and quality strategy across products and services.
• Own testing across unit, API/contract, integration, UI, and end-to-end layers, including the frameworks used by engineering teams.
• Design CI/CD quality gates and lead performance, scalability, reliability, resilience, security, and data-quality testing.
• Build test-data management and environment strategies for sensitive candidate and employee data.
• Define quality metrics, improve release confidence, and mentor SDETs and QA engineers.
• Establish quality assurance practices for LLM-powered copilots and agents, including regression, guardrail, safety, and red-team testing.

Requirements

• 10+ years of experience in software quality or engineering, including ownership of quality at platform scale.
• Bachelor's degree in engineering, preferably computer science or a related discipline.
• Strong coding and test automation experience with Python, Java, or JavaScript/TypeScript, using tools such as Playwright, Selenium, or Cypress.
• Experience designing test architecture, API/contract testing, and CI/CD quality gates in cloud-native environments with AWS, GCP, or Azure, Docker, and Kubernetes.
• Experience with performance/load testing, reliability, security fundamentals, and data- or ML-driven systems.
• Strong analytical, problem-solving, communication, independent-working, and collaboration skills.

Nice to have

• Experience with LLM or GenAI evaluations, including RAG evaluation, prompt regression, LLM-as-judge, or evaluation frameworks.
• Experience testing ML pipelines and model performance or applying responsible-AI concepts such as fairness, explainability, and governance.
• Enterprise multi-tenant SaaS, HR technology, regulated-domain, or AI-assisted QA tooling experience.

Culture & Benefits

• Work in a deeply technical, execution-driven environment focused on ownership, collaboration, and high standards.
• Collaborate across functions and locations on systems operating at enterprise scale.
• Help improve the trustworthiness and fairness of AI systems that influence career and hiring decisions.