Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Чётко очерченная senior-роль объединяет автоматизацию на Python и оценку AI-агентов в крупной международной продуктовой компании, но работа предполагает частые изменения.
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Частые переменыАктуальный стекAI в продуктеПоддержка развитияДополнительные выходные
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Test Engineer (AI): Designing test strategies and Python automation frameworks for agentic AI systems, including MCP integrations and LLM-driven workflows, with an accent on reliability, safety, and repeatable quality evaluation. Focus on testing non-deterministic behavior, building evaluation datasets and metrics, and driving AI quality practices across distributed cloud systems.
Location: Budapest, Hungary; flexible office-based, remote, or hybrid work is available, but candidates must be Hungary-based.
Company
hirify.global develops AI-powered customer and employee experience technology, including the hirify.global Cloud Copilot agentic AI platform used by more than 8,000 organizations worldwide.
What you will do
Design and execute test strategies for AI agents, tools, MCP integrations, and multi-step workflows.
Build and maintain scalable Python test frameworks and automation with fast CI/CD feedback.
Develop evaluation datasets, scoring methods, and quality metrics for non-deterministic AI behavior.
Contribute standards, patterns, and tooling to cross-team test architecture initiatives.
Pilot AI-assisted testing and development workflows and support their adoption across teams.
Own testing projects end to end and communicate quality risks, results, and release recommendations to developers, product managers, architects, and leadership.
Requirements
5+ years of professional software testing or quality engineering experience with a proven delivery track record.
Strong Python skills and hands-on experience building test frameworks and automation, such as pytest.
Experience designing test strategies, test plans, and test cases for complex, distributed, or cloud-based systems.
Experience testing APIs, services, and integrations in CI/CD pipelines.
Familiarity with LLMs, AI agents, or MCP, with a strong interest in developing further expertise.
Ability to work independently and manage projects end to end with minimal oversight.
Excellent communication skills for explaining technical quality topics to technical and non-technical stakeholders.
Comfort working in agile teams with frequent change and shifting priorities.
Strong analytical and problem-solving skills with a curious, investigative mindset.
Nice to have
Experience testing non-deterministic systems, including LLM applications, ML models, or probabilistic outputs.
Experience with AI agent evaluation, eval frameworks, LLM-as-judge, benchmark design, DeepEval, Ragas, or LangSmith.
Performance, load, or scalability testing experience with tools such as Locust, k6, or JMeter.
Experience contributing to cross-team quality initiatives.
Hands-on experience using AI-assisted development and testing tools.
Experience with cloud platforms, preferably AWS, and containerized environments.
Background in contact center, CX, or SaaS platforms.
Culture & Benefits
Multinational-company stability combined with startup-like flexibility and speed.
Open and inclusive community with support from global and local leaders.
Professional development through mentorship, learning programs, leadership development, education support, and language courses.
Flexible work options for Hungary-based employees, including long-term remote, hybrid, or office-based work in Budapest.
Extra days off in August and October, paid volunteer time, and well-being resources.
Cafeteria, health insurance, life insurance, gym, vitamin bar, company café, and Budapest headquarters near Nyugati Railway Station.
Hiring process
Application review by the Talent Acquisition and hiring teams.
Zoom interview followed by meetings with the hiring manager and interview team.
Usually no more than five interviews, followed by final-step communication.
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