aipythonbackendtypescriptllmapi integrationretrievalagent systems
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Выше рынка
$250к-320к/год
$160к$210кмедиана$250к
По похожим ролям (49) ~ $210к/год
На СНГ рынке: $3.5к/мес ($2.3к - $4.2к)
92
Крутая вакансия
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Здесь есть понятная ответственность за production-агентов, зарплата выше рыночного ориентира и практическая работа в быстроразвивающейся сфере ИИ-продуктов.
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Высокая зарплатаПередовой ИИ-стекПонятная зона ответственностиИИ-продуктВысокий темп
Оценка от Hirify AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Applied AI Engineer (AI/LLM): Building production agent systems that research accounts, identify opportunities, and execute go-to-market workflows with an accent on tool execution, context management, memory, and error recovery. Focus on designing reliable agent harnesses, measuring quality through evaluations and execution traces, and optimizing production reliability, latency, and cost.
Location: Hybrid, San Francisco or New York office, United States
Estimated base salary: $250,000–$320,000; equity offered
Company
hirify.global is building an AI-native outbound platform where agents and sellers identify in-market buyers, enrich accounts from more than 40 data sources, and execute personalized, multichannel outreach.
What you will do
Design agent execution loops, tool interfaces, context management, and memory systems for reliable complex workflows.
Build and ship AI features end to end, connecting agents with data, integrations, and workflow infrastructure.
Create evaluations from real customer tasks and improve agent behavior through execution traces and failure analysis.
Build production systems with resumable long-running tasks, tool-failure handling, user visibility, and control over agent actions.
Experiment with models, prompting strategies, retrieval approaches, and orchestration patterns.
Develop reusable AI tools and engineering practices in partnership with product and design.
Requirements
3+ years of software engineering experience and hands-on experience shipping LLM applications or agents to production.
Experience building systems with tool calling, multi-step execution, and evaluations.
Strong programming skills in TypeScript or Python, with experience building backend systems and integrating APIs.
Comfort owning a feature across the stack.
Empirical approach to defining success, running experiments, inspecting failures, and using evidence to guide development.
Ability to turn high-level product ideas into deployed solutions while balancing speed with sound engineering judgment.
Initiative, fast learning, generous collaboration, comfort with ambiguity, and a commitment to improving the people around you.
Culture & Benefits
Work in a fast-paced environment with a focus on craftsmanship and urgency.
Collaborate closely across product, design, and engineering.
Build products aimed at reducing manual work for revenue teams, including reported time savings on list building and higher output per representative.
Hybrid work from the San Francisco or New York office.
Equity offered in addition to base salary.
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