Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Текст:
Hirify AI/Оригинал
TL;DR
AI QA Engineer (Python/LLM): Designing and executing quality strategies for AI-powered warehouse assistants, copilots, and autonomous agents with an accent on LLM evaluation, test automation, and enterprise integrations. Focus on validating hallucinations, RAG accuracy, agent trajectories, prompt-injection resistance, model drift, and AI governance compliance.
Location: Europe and Ukraine; remote-first with flexible remote and hybrid working options
Company
hirify.global is a global digital services and software solutions company working across supply chain, healthtech, collaboration technology, and gaming.
What you will do
Design and execute quality strategies for AI-powered warehouse assistants, copilots, and autonomous agents.
Build LLM evaluation frameworks, golden datasets, benchmark scenarios, and agent trajectory tests for warehouse workflows.
Test hallucinations, factuality, grounding, response quality, RAG retrieval accuracy, prompt injection, jailbreaks, model drift, and output degradation.
Create scalable functional, API, integration, and end-to-end automation frameworks using suitable testing tools.
Validate integrations across WMS, ERP, TMS, OMS, WCS, and third-party platforms, while implementing CI/CD quality gates and regression suites.
Define AI quality standards, KPIs, audit-ready evidence, and compliance practices while collaborating with product, architecture, UX, and engineering teams.
Requirements
5+ years of experience in quality assurance and test automation.
2+ years of experience testing AI-enabled applications, LLM solutions, or agentic systems.
Strong Python skills and experience with Playwright, Selenium, Cypress, or similar automation frameworks.
Experience with API, integration, database, CI/CD, DevOps, and cloud-native testing, including Azure or AWS.
Knowledge of AI evaluation frameworks, AI-specific failure modes, MCP architecture, and agent-to-tool integrations.
Understanding of software testing methodologies, test design, risk-based testing, and enterprise quality practices.
Nice to have
Experience with supply chain, logistics, WMS, TMS, OMS, ERP, warehouse operations, or fulfillment processes.
Experience with LangSmith, Braintrust, MLflow, Arize, or Evidently AI.
Familiarity with the EU AI Act, ISO 42001, and responsible AI governance frameworks.
ISTQB CT-AI certification, AI testing credentials, or contributions to AI testing frameworks and open-source projects.
Leadership experience driving AI quality strategy across multiple teams.
Culture & Benefits
Flexible hours and remote-first work with the option to work from home or an office.
Hardware and software setup required for work.
Health insurance, vacation, sick leave, holidays, and paid maternity and paternity leave.
Learning and development resources, mentorship, individual development planning, online courses, and certification preparation.
Transparent communication, virtual team-building activities, company events, and social programs.
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