aipythontest automationcontinuous integrationretrieval augmented generationred teamingllm evaluationai governancellm as judge
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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€40к-47к/год
€43к€48кмедиана€58к
По похожим ролям (10) ~ €48к/год
На СНГ рынке: $3к/мес ($2.2к - $3.9к)
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Задачи чётко сосредоточены на практической оценке LLM-систем, включая продакшен-тестирование и поддержку governance; главное ограничение - уже иметь право на работу в Италии.
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
AI Quality & Evaluation Engineer (AI/Python): Building and operating evaluation tooling, test suites, and automated quality checks for MSC AI services with an accent on LLM evaluation, adversarial testing, regression coverage, and production monitoring. Focus on calibrating non-deterministic quality criteria, integrating checks into CI pipelines, and producing evidence for release and AI-governance decisions.
Location: Naples, Italy; hybrid working model with 2 days per week remotely. Right to work in Italy required.
Gross annual salary: €40,000–€47,000 gross per year, paid over 14 monthly installments.
Company
hirify.global is a luxury cruise brand within MSC Cruises, operating in the travel and hospitality sector.
What you will do
Build and maintain evaluation harnesses, datasets, LLM-as-judge evaluators, retrieval checks, and tool-call assertions for MSC AI services.
Implement and calibrate approved judging criteria, analyse variance, and maintain scheduled production-canary evaluations with synthetic user personas.
Develop adversarial and red-team test suites covering policy breaches, prompt injection, data disclosure, persona breaks, jailbreaks, and off-topic behaviour.
Run automated checks supporting prompt, model, and retrieval release decisions, and integrate quality controls into continuous-integration pipelines.
Build dashboards, trend analysis, and alerts; convert production incidents and reported failures into regression cases.
Document evaluation methods, criteria, and results, and provide evidence for engineering, release, AI-governance, and regulatory decisions.
Requirements
English is the primary working language.
Degree in Computer Science, Information Technology, Engineering, or a related field.
4–7 years of total professional experience, including software engineering, test automation, or quality engineering experience with Python.
Strong Python development skills; this is a hands-on engineering role focused on building and maintaining evaluation tooling.
Practical experience testing or evaluating LLM-based systems, including LLM-as-judge approaches and non-deterministic output.
Understanding of production AI failures, including hallucinations, retrieval gaps, prompt injection, jailbreaks, and unsafe or off-brand output.
Experience designing and maintaining test datasets and regression suites as products change.
Experience integrating automated testing into continuous-integration pipelines.
Analytical, communication, and interpersonal skills, including presenting quality evidence and constructively challenging engineering and product decisions.
Nice to have
Familiarity with LangChain, LangGraph, or the Microsoft Agent Framework.
Experience with Langfuse, DeepEval, or comparable LLM tracing and evaluation tools.
Experience evaluating retrieval-augmented generation systems, including retrieval-quality measurement.
Experience with adversarial testing or AI red-teaming.
Familiarity with AI-governance or regulatory regimes such as the EU AI Act.
Background in travel, hospitality, or another large-scale consumer business.
Culture & Benefits
Permanent employment under the applicable Italian collective labour agreement for shore-based personnel in private shipping companies.
Hybrid work with 2 remote days per week and flexible working hours.
€8 meal vouchers for each on-site working day.
Welfare initiatives, productivity award, health insurance, learning opportunities, Employee Assistance Programme, and MSC group discounts and partnerships.
Supportive environment focused on wellbeing, continuous learning, inclusive career growth, and diverse perspectives.
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