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4 дня назад

Senior AI Engineer

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Netherlands
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior AI Engineer (LLM agents): Building and operating production AI agents for restaurant finances, back-office automation, and internal workflows with an accent on agent orchestration, data pipelines, evaluation, and secure tool integration. Focus on designing multi-step reasoning systems, tracing production behavior, preventing prompt injection and data leakage, and balancing latency, cost, accuracy, and complexity.

Location: Amsterdam, Netherlands; on-site

Company

hirify.global is building a connected restaurant management system that combines sales, reservations, kitchen preparation, payments, and operational data for hospitality businesses.

What you will do

  • Design, ship, operate, evaluate, and scale production AI agents with orchestration, tool and function calling, memory, multi-step reasoning, and backend integrations.
  • Build real-time and batch data pipelines, retrieval layers, and well-modeled datasets over financial and operational data.
  • Turn APIs and internal services into defined agent tools and own the contracts between agents and the platform.
  • Develop agent evaluation through offline datasets, LLM-as-judge, human review, regression testing, and feedback loops.
  • Own production observability by tracing sessions, tool calls, and model calls while tracking latency, cost, errors, and quality.
  • Partner with product teams to identify valuable customer and internal workflows, while implementing guardrails, access controls, and protection against prompt injection and data leakage.

Requirements

  • 7+ years of software engineering experience with a strong foundation in data or ML engineering.
  • Hands-on experience building and shipping LLM agents to production, including handling unreliable tool calls, runaway loops, hallucinated arguments, and token budgets.
  • Strong data modeling and data warehousing fundamentals, including ingestion, transformation, and data quality.
  • Strong SQL skills and experience with pipeline tools such as Airflow or dbt and analytical or cloud data platforms such as ClickHouse, BigQuery, or Snowflake.
  • Experience evaluating and monitoring LLM systems across experimentation, deployment, and ongoing improvement.
  • Backend engineering skills for building APIs that expose agent output or services used as agent tools.
  • Clear communication and the ability to explain trade-offs among latency, cost, accuracy, and complexity to product partners.
  • Product mindset and willingness to meet customers face to face to understand their needs.
  • Production agent-building experience is required; experience limited to using AI agents for personal workflows is unsuitable.

Culture & Benefits

  • Independent, curious, and hospitality-focused working environment.
  • Start-up equity and competitive salary.
  • Lunch provided in the office.
  • Team-building events.
  • Unlimited time off.

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