6 дней назад
Senior Automation Testing Engineer (Agentic AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Automation Testing Engineer (Agentic AI): Building production-grade automation and evaluation systems across backend, web, mobile, and AI workflows with an accent on Playwright, Appium, Python, CI/CD, and LLM reliability. Focus on orchestrating agentic testing pipelines, evaluating Arabic and English product behavior, and solving flakiness, non-determinism, and real-device payment testing challenges.
Location: Remote, Cairo, Egypt
Company
is a restaurant management ecosystem and payment technology provider offering SaaS products across the MENA region.
What you will do
- Build and maintain automated testing across backend APIs, contracts, services, web applications, and mobile platforms.
- Develop Playwright, Appium, and Maestro coverage, including end-to-end, component, visual, RTL, offline, synchronization, and payment-peripheral testing.
- Design shared fixtures, test-data management, parallel execution, CI pipelines, device-farm strategies, and performance or load tests.
- Build AI-assisted test generation, failure triage, self-healing locators, flake detection, quarantine, and coverage-gap analysis.
- Create evaluation infrastructure for AI features, including datasets, scoring, regression detection, Arabic and English behavior, RTL interfaces, and regional POS, tax, and payment rules.
- Develop agentic AI workflows that can inspect diffs, run suites, reproduce failures, propose fixes, and coordinate multi-step testing with human escalation when needed.
Requirements
- Recent hands-on experience shipping and maintaining production LLM-backed systems used by real users.
- Strong Python skills and professional experience with at least one of .NET, Java, or TypeScript.
- Experience owning release-gating automation across backend and web or mobile interfaces.
- Practical knowledge of test design, automation frameworks, CI/CD, evaluation systems, prompting, structured output, retrieval, tool use, and agentic AI orchestration.
- Understanding of reliability engineering for LLM systems, including guardrails, retries, observability, model routing, latency, cost, and non-determinism.
- Remote work is associated with Cairo, Egypt.
Nice to have
- Experience with MCP-style tool interfaces, multi-agent systems, sandboxed execution, context engineering, LLM-as-judge evaluation, and statistical analysis of small samples.
Culture & Benefits
- Competitive compensation with bonuses and potential share participation.
- Regular training and an annual learning stipend.
- International environment with colleagues from more than 30 nationalities across 14 countries.
- Autonomy, mentoring, and challenging goals in a hyper-growth environment.
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