2 дня назад
AI QA Engineer
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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