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4 дня назад

Principal Software Engineer (Agentic AI Architecture)

Формат работы
onsite
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
Principal Software Engineer (Agentic AI Architecture): Defining enterprise architecture, coding-agent standards, reusable libraries, and automated workflows for AI-assisted software development with an accent on security, scalability, reliability, and governance. Focus on establishing Model Context Protocol standards, evaluating AI-generated software, solving complex integration challenges, and guiding architecture strategy across the organization.

Location: US FL JAX 347

Company

hirify.global develops technology for payments, banking, and investment services in the fintech industry.

What you will do

  • Define enterprise architecture and technical strategy for agentic software engineering capabilities.
  • Establish reference architectures for coding agents, harnesses, reusable libraries, and automated development workflows.
  • Set engineering standards for Model Context Protocol servers, tools, interfaces, and lifecycle management.
  • Lead high-impact decisions involving security, scalability, reliability, platform interoperability, and enterprise adoption.
  • Establish controls for evaluating, testing, monitoring, and governing AI-generated software.
  • Advise engineering, product, implementation, and client-facing teams while coaching senior engineers and technical leads.

Requirements

  • Master-level expertise in software architecture, platform engineering, and enterprise application development.
  • Advanced proficiency with Python, TypeScript, or comparable languages.
  • Experience shaping technical strategy for large-scale, long-term software initiatives.
  • Deep experience with distributed systems, cloud architecture, APIs, security, and production reliability.
  • Experience establishing engineering standards, automated testing, performance optimization, and software lifecycle governance.
  • Degree in computer science, engineering, or a related field, or equivalent practical experience.

Nice to have

  • Expertise in agentic programming, coding agents, or large language model application architecture.
  • Experience defining enterprise patterns for Model Context Protocol development and adoption.
  • Knowledge of Claude Code, GitHub Copilot, OpenCode, or comparable AI engineering ecosystems.
  • Experience establishing AI evaluation, observability, safety, and governance frameworks.
  • Client-facing engineering experience and an advanced technical degree.

Culture & Benefits

  • Opportunities to make an impact in fintech.
  • Personal and professional learning resources.
  • Inclusive and diverse work environment.
  • Resources to support community involvement.
  • Competitive salary and benefits.

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