Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
Пожаловаться
Зарплата и рынок
ЗП не указана
На похожих ролях по рынку
$75к$90кмедиана$133к
45 в выборке
На СНГ рынке: $4.2к/мес ($3.6к - $5.1к)
88
Отличная вакансия
развернуть
У роли четкий фокус на production AI, высокая ответственность и поддержка хорошо профинансированного стартапа; главные компромиссы - высокий порог по опыту и работа из офиса.
Кликните для подробной информации
Много ответственностиПередовой AI-стекСильные инвестицииТолько офисНеограниченный отпуск
Оценка от Hirify AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Подключить Plus
Описание вакансии
Текст:
Hirify AI/Оригинал
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.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →