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6 дней назад

Manager, AI Ops Site Reliability Engineer

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Greece
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Manager, AI Ops Site Reliability Engineer (LLM/Agent Engineering): Designing AI agent workflows and evaluation systems for operational incident investigation, with an accent on prompt and context engineering, retrieval, guardrails, and measurable accuracy. Focus on building ground-truth datasets, regression tests, hallucination detection, and agent-assisted operational workflows that reduce toil and MTTR.

Location: Thessaloniki, Chortiatis, Greece. Work arrangement: Hybrid. Periodic international and domestic travel required, less than 10%.

Company

hirify.global is a global pharmaceutical company developing medicines and digital solutions to improve health outcomes and transform drug discovery and development.

What you will do

  • Design AI agent workflows for incident intake and investigation, including prompts, context, retrieval, tool selection, and decision logic.
  • Build and own evaluation harnesses using historical incidents, ground-truth datasets, accuracy metrics, regression tests, and hallucination detection.
  • Define reasoning guardrails, confidence thresholds, approval rules, and human-deference conditions for operations agents.
  • Convert operational runbooks and investigations into retrievable, machine-usable knowledge in collaboration with domain experts.
  • Redesign operational workflows with agent assistance, pilot them, and measure toil and MTTR reduction.
  • Continuously tune agent quality against production results while collaborating with SRE, operations, platform, and AI Ops teams.

Requirements

  • Bachelor's degree in a technical field or equivalent practical experience.
  • 4+ years of experience in software, data, or ML/AI engineering, including production delivery of LLM or agent-based applications.
  • Experience with prompt and context engineering and structured AI evaluations, including ground-truth datasets, metrics, and regression testing.
  • Working knowledge of agent frameworks and tooling such as Amazon Bedrock AgentCore or LangGraph, RAG, knowledge-base design, and strong Python skills.
  • IT operations literacy and the ability to assess the plausibility of agent outputs in operational workflows.
  • Strong analytical and communication skills, with experience collaborating with SREs and presenting accuracy results.

Nice to have

  • Experience with LLM-as-judge evaluation.
  • Familiarity with ServiceNow, Dynatrace, or observability data.
  • Experience working in an agile environment.

Culture & Benefits

  • Flexible workplace culture designed to support work-life harmony.
  • Collaborative environment focused on continuous improvement and digital transformation.
  • Periodic domestic and international travel of less than 10%.
  • Inclusive workplace with support for reasonable disability accommodations.

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