Software Quality Assurance Engineer

About Angelina

Angelina builds the AI Workforce OS, a governance and control plane that turns AI agents into managed digital workers, with identity, policy enforcement, budget controls, organizational memory, and full audit trails.

The platform runs in production with academic, industrial, and public-sector customers in Israel and abroad, including on-premise deployments. We're a team of about 12 that moves fast, and every person has a direct impact on the product.

You'll be our first QA engineer, responsible for product quality from end to end. You'll design and run manual and automated tests, and you'll build the company's testing infrastructure from scratch together with the development team. This is a hands-on role with real ownership. You'll set the standards, choose the tools, and shape how quality works at Angelina as we grow.

• Write test plans and test cases based on product requirements and technical specifications
• Run functional, regression, and integration testing, and lead user acceptance testing (UAT) with customers
• Build and expand our UI and API test automation
• Test LLM-based systems: validate outputs, build golden test suites, test for consistency and hallucinations, and verify guardrails and the policy engine
• Test integrations, including SSO/Keycloak, MCP, WhatsApp Cloud API, Moodle/LTI, and customer systems
• Report, track, and manage bugs through to resolution
• Take part in release processes and test on-prem and cloud environments

• 1–3 years of QA experience with software products (Web/SaaS)
• Experience writing test cases and working with a bug-tracking system (Jira or similar)
• Experience with API testing (Postman / REST)
• Basic SQL
• Excellent English, written and spoken, for working directly with international customers
• Independence, a strong sense of ownership, and comfort in an early-stage startup

• Test automation experience with Playwright, Selenium, or Cypress, and with Pytest
• Python
• Familiarity with Docker, CI/CD (GitHub Actions), and AWS
• Prior experience testing AI, LLM, or chatbot products
• Familiarity with enterprise environments and information-security processes

• Build QA from zero. You'll define the practice, the tooling, and the culture.
• Work at the AI frontier. The product is cutting-edge and already in production with real customers.
• Make a real impact and grow fast. On a small team, your work shows up in the product right away and your growth path is wide open.

Main improvements: I clarified the title (first QA hire), added the location, opened the role section with an ownership pitch, made the bullets use parallel verbs, and made "Why Join Us" more concrete. If the role is hybrid, add that to the header line, since it's a strong draw for candidates.