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4 дня назад

Software Engineer (AI/Risk Management)

153 000 - 270 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Software Engineer (AI/Risk Management): Building data pipelines, integrations, policy-as-code controls, and agentic AI workflows for third-party risk management and business continuity with an accent on auditable governance automation, data normalization, and continuous control monitoring. Focus on designing reliable production systems, integrating imperfect data sources, and combining LLM reasoning with deterministic decision layers.

Location: Remote, Bay Area, California, United States

Salary: $153,000–$270,000 USD per year, depending on location zone, skills, experience, and market conditions.

Company

hirify.global builds technology and financial products that increase access to the global economy, including Square, Cash App, Afterpay, TIDAL, Bitkey, and Proto.

What you will do

  • Own and operationalize third-party risk management and business continuity programs for Square Financial Services.
  • Build and operate pipelines and integrations that aggregate, normalize, and connect risk, control, and asset data across hirify.global and SFS systems.
  • Translate security and compliance standards into versioned, tested policy-as-code rules.
  • Design agentic AI workflows combining LLM reasoning with deterministic, auditable decision layers.
  • Automate evidence collection and continuous control monitoring for audit readiness.
  • Partner with Security, Procurement, Resilience, and Engineering teams to turn manual governance processes into reliable products.

Requirements

  • Experience with third-party risk management and business continuity.
  • 4+ years of production software engineering experience in backend, platform, data, or software engineering.
  • Multi-year ownership of production systems, including on-call, SLOs, and post-launch maintenance.
  • Proficiency in at least one of Python, Kotlin, Java, or Go, with the ability to read unfamiliar codebases.
  • Hands-on experience with LLMs, integrations, REST APIs, webhooks, authentication flows, event-driven architectures, and multi-source data processing.
  • Experience defining technical direction in ambiguous problem spaces and delivering solutions across team boundaries.

Nice to have

  • Knowledge of PCI DSS, SOX, SOC 2, ISO 27001, or NIST.
  • Production-scale LLM or agentic systems experience.

Culture & Benefits

  • Remote work environment with flexible time off.
  • Medical insurance and retirement savings plans.
  • Modern family planning benefits.
  • Inclusive workplace and reasonable accommodations throughout the hiring process.
  • AI tools may be used to evaluate applications in accordance with applicable regulations.

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