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5 дней назад

Staff Software Engineer, Mid Market Intelligence (AI)

202 500 - 274 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior/lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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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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