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1 день назад

Staff Software Engineer - Customer Facing Applied AI

158 000 - 248 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
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 - Customer Facing Applied AI (AI/Python): Building production AI capabilities, agent frameworks, evaluation infrastructure, and platform patterns by turning complex client workflows into generalized products with an accent on agent architecture, multi-model orchestration, and production reliability. Focus on designing shared AI platforms, evaluating production readiness, scaling observability and SLOs, and translating high-stakes client engagements into product direction.

Location: Remote, United States

Base salary: $158,000–$248,000 USD per year, plus bonus, equity, and benefits.

Company

hirify.global is a global data and AI platform that helps investment professionals turn portfolio, market, and client data into actionable intelligence.

What you will do

  • Set technical direction for AI engineering, including agent architectures, evaluation methods, deployment, and monitoring.
  • Design shared AI platform capabilities such as agent frameworks, tool integrations, and evaluation infrastructure.
  • Work directly with clients to identify automation opportunities, prototype AI capabilities, and deliver production-quality solutions.
  • Move client-specific prototypes into generalized products in partnership with core engineering teams.
  • Establish observability, SLOs, and operational practices for reliable AI systems.
  • Mentor AI and full-stack engineers and translate client insights into product roadmap priorities.

Requirements

  • 6+ years of professional software engineering experience.
  • Professional experience with Python.
  • Deep experience building and operating AI/LLM-powered systems in production, including agent architectures, multi-model orchestration, and evaluation at scale.
  • Experience designing platforms and technical systems that other engineers build on.
  • Experience taking products or capabilities from zero to one and working directly with customers or external stakeholders.
  • Strong judgment, communication, and technical leadership skills, plus a BS/MS in Computer Science, Mathematics, another quantitative field, or equivalent experience.

Nice to have

  • Experience designing multi-service AI platform architectures.
  • Experience with Java or other backend languages.
  • Financial services domain knowledge, including portfolios, trading, document management, or regulatory workflows.
  • Production observability, SaaS operational excellence, developer experience, or internal platform experience.

Culture & Benefits

  • Values ownership, collaboration, client focus, innovation, and continuous learning.
  • Compensation includes base salary, bonus, equity, and benefits.
  • Equal opportunity employer committed to inclusion and belonging.
  • Reasonable accommodations are available for candidates with disabilities.

Hiring process

  • Formal interviews are required before any offer is made.

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