Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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У роли ясный фокус на надежности AI-систем в крупной медицинской компании: есть работа с production-системами и измеримые цели. Обязанности и взаимодействие с командами описаны достаточно четко.
Современный AI-стек
Четкие задачи
AI в медицине
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Manager, AI Ops Site Reliability Engineer (AI/LLM Operations): Designing reliable AI agent workflows and evaluation systems for operational incident investigation with an accent on prompt and context engineering, retrieval, and measurable accuracy. Focus on building ground-truth datasets, regression tests, reasoning guardrails, and agent-assisted workflows that reduce toil and MTTR.
Location: Hybrid, Greece-Thessaloniki Chortiatis or Ireland-Dublin-Ringsend. Periodic international and domestic travel required, less than 10%.
Annual base salary: €31,125 for the Greece-Thessaloniki Chortiatis location.
Company
hirify.global develops medicines and applies data, modeling, and automated solutions to accelerate drug discovery and development and improve health outcomes.
What you will do
Design agent workflows for incident intake and investigation, including prompts, context, retrieval, tool selection, and decision logic.
Build and own evaluation harnesses using historical incident datasets, accuracy, precision and recall metrics, regression tests, and hallucination detection.
Define reasoning guardrails, confidence thresholds, and human-deference rules for agent outputs.
Convert operational runbooks and investigations into retrievable knowledge in collaboration with domain experts.
Redesign operational workflows as agent-assisted processes, pilot them, and measure toil and MTTR reduction.
Tune agent quality against production results and collaborate with SRE, Ops, Platform, and AI Ops stakeholders.
Requirements
Bachelor's degree in a technical field or equivalent practical experience.
4+ years of experience in software, data, or ML/AI engineering, including hands-on delivery of LLM or agent-based applications in production.
Experience with prompt and context engineering and structured AI evaluations, including ground-truth sets, metrics, and regression testing.
Working knowledge of agent frameworks and tooling, such as Amazon Bedrock AgentCore or LangGraph, and RAG or knowledge-base design.
Strong Python skills.
IT operations literacy sufficient to design realistic workflows and assess the plausibility of agent output.
Strong analytical and communication skills for working with SREs, extracting knowledge, and presenting accuracy results.
Experience in an agile work environment, with collaboration, adaptability, and proactive problem-solving.
Nice to have
LLM-as-judge evaluation experience.
Familiarity with ServiceNow, Dynatrace, or observability data.
Culture & Benefits
Hybrid work location with a flexible workplace culture focused on work-life harmony.
Benefits may include healthcare coverage, retirement savings plans, insurance, employee assistance, and wellness programs; benefits vary by location.
Work supports hirify.global's values of courage, joy, equity, and excellence and its patient-centric mission.
hirify.global promotes an inclusive workplace and provides reasonable adjustments for candidates with disabilities.
Hiring process
Apply by sending a CV in English.
Local pay information for secondary posting locations subject to pay transparency regulations will be shared during the first interview.
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