2 months ago
Bengaluru, IndiaSenior
Responsibilities
- Test AI/LLM-powered backend services, APIs, and field-service workflows.
- Validate AI responses for accuracy, relevance, groundedness, and hallucinations.
- Build automated AI evaluation and regression frameworks using golden datasets and benchmarks.
- Test REST APIs, microservices, asynchronous workflows, and service integrations.
- Perform performance, load, resilience, and failure testing.
- Develop test automation and integrate quality checks into CI/CD pipelines.
- Validate intelligent scheduling outcomes against business and operational constraints.
- Build reliable, scalable, and measurable quality frameworks for AI-driven capabilities.
Requirements
- 6+ years of experience in QA, SDET, or test automation.
- Strong backend/API testing and automation experience.
- Proficiency in Java, Python, JavaScript, or TypeScript.
- Experience with REST Assured, Playwright, Selenium, or similar tools.
- Strong understanding of REST APIs, microservices, distributed systems, and SQL.
- Experience with CI/CD and performance or reliability testing.
- Hands-on exposure to LLM/GenAI testing, RAG, prompt testing, AI evaluation, or AI agents.
- Preferred experience with Kafka or event-driven systems, Kubernetes or cloud platforms, and Prometheus, Grafana, Datadog, or OpenTelemetry.
- Preferred experience building AI evaluation datasets and benchmarks.
Tech Stack
Categories
About Zinier
Zinier builds an enterprise field service management platform that uses AI and low‑code tools to orchestrate workflows, automate scheduling and dispatch, and give technicians mobile support. The subscription SaaS integrates with existing systems and serves asset‑intensive industries such as telecommunications, utilities, energy, and manufacturing. Founded in 2018 and headquartered in San Mateo, California, Zinier is privately held.