aijavapythonkafkatest automationllmragdistributed systemssparkagentic systems
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Средняя
$203к-274к/год
$210к$240кмедиана$290к
По похожим ролям (50) ~ $240к/год
На СНГ рынке: $4.1к/мес ($3.2к - $6к)
88
Крутая вакансия
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Чётко описанная роль Staff-инженера в AI в крупной продуктовой компании: зарплата соответствует рынку, а работа связана с внедрением агентных систем в продукт. Широкая зона влияния на несколько команд соответствует этому уровню.
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Широкая зона влиянияСовременный стекСильная компанияЗарплата по рынкуAI-направление
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Staff Software Engineer, Mid Market Intelligence (AI): Building the intelligence layer for an AI-native ERP, including agentic workflows, automation, and AI-to-human collaboration with an accent on LLM orchestration, retrieval, evaluation, and production-grade safety. Focus on designing scalable distributed systems, implementing multi-agent experiences, and driving offline evaluation, online experimentation, observability, and cross-team technical leadership.
Location: Mountain View, California, United States
Base pay: $202,500–$274,000 per year, with potential eligibility for cash bonuses, equity rewards, and benefits.
Company
hirify.global is a financial technology platform providing products including TurboTax, Credit Karma, QuickBooks, and Mailchimp.
What you will do
Design and implement intelligent, AI-native workflows from concept through production.
Develop agentic systems using LLM orchestration, multi-agent architectures, retrieval, tool use, and function calling.
Build automation and human-in-the-loop experiences with approvals, explainability, evaluation, safety, and observability.
Contribute to the architecture of the Mid-Market intelligence platform and develop high-scale distributed systems.
Drive instrumentation, offline evaluations, online experimentation, defect resolution, and production quality.
Mentor engineers and lead technical alignment with product management, design, and other business units.
Requirements
BS/MS in Computer Science, a related field, or equivalent experience.
7+ years architecting and developing high-scale distributed systems and web applications.
Strong applied AI experience across traditional machine learning and Generative AI, including production AI systems.
Strong design and coding skills in Java and Python, plus experience with Spark/PySpark, Kafka, feature stores, or vector stores.
Experience with RAG, prompt and context engineering, multi-agent systems, evaluation and guardrail frameworks, and AI quality monitoring.
Experience with test automation, TDD, integration testing, relational database design, technical leadership, and mentoring.
Culture & Benefits
Work in a one-team environment focused on high-impact customer outcomes.
Use Agile and Scrum practices for iterative delivery.
Access a compensation package with performance-based rewards, potential equity, bonuses, and benefits.
Contribute to an AI-native product area where the technology evolves rapidly.
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