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2 дня назад

Software Engineer (AI)

Формат работы
remote (только Mexico)
Тип работы
project
Грейд
senior
Английский
c1
Страна
Mexico
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): Building an AI-powered risk intelligence platform that helps enterprises detect and respond to emerging online threats with an accent on spec-driven development, AI coding agents, backend services, APIs, and integrations. Focus on translating requirements into executable specifications, validating AI-generated code with automated tests, and improving secure, maintainable CI/CD workflows.

Location: Remote, Mexico

Company

hirify.global is a full-service consulting firm delivering software solutions and predictable outcomes for clients.

What you will do

  • Build features for an AI-powered risk intelligence platform that detects and responds to emerging online threats.
  • Translate product requirements into precise specifications, technical plans, task breakdowns, and acceptance criteria.
  • Use AI coding agents such as Claude Code, Cursor, GitHub Copilot, or Kiro to implement, test, review, and refine software.
  • Own backend services, REST APIs, and integrations from specification through production.
  • Maintain coding standards, context files, prompts, templates, and automated tests that improve AI-generated code quality.
  • Improve spec-driven development, tooling, and CI/CD practices while collaborating with a US-based client team.

Requirements

  • 4+ years of professional software engineering experience building and shipping production applications.
  • Hands-on daily experience with AI coding agents and spec-driven development.
  • Strong backend skills with Python, TypeScript/Node.js, or Go, REST APIs, and SQL databases; full-stack experience with React or a similar framework is also relevant.
  • Strong testing discipline covering unit tests, integration tests, and test-first practices.
  • Experience with Git workflows, code review, CI/CD, and deployment to AWS, GCP, or Azure.
  • Excellent written and spoken English is required, with especially strong written communication for specifications and documentation.

Nice to have

  • Experience building LLM-powered features such as RAG, agents, or tool calling.
  • Experience setting up team AI development tooling, MCP servers, agent rules files, or shared prompt libraries.
  • Experience with data-heavy or SaaS platforms, security, threat intelligence, or trust and safety.
  • Familiarity with Docker, Kubernetes, or infrastructure as code such as Terraform.
  • Experience working with US-based clients or distributed teams.

Culture & Benefits

  • Contract engagement with remote work from Mexico.
  • Work in a hands-on individual-contributor role with end-to-end feature ownership.
  • Collaboration with a US-based client team through daily standups and technical discussions.
  • Focus on expertise, integrity, transparency, dependability, and continuous improvement of engineering workflows.

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