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11 дней назад

Software Engineer (AI)

163 000 - 178 000$
Формат работы
onsite
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): Building and testing AI-assisted tools, automation scripts, and workflow integrations for cyber-professional readiness and certification with an accent on Python, Bash, AI agents, Skills, and MCP servers. Focus on gathering requirements, streamlining operational workflows, maintaining technical documentation, and learning CNO operational and training environments.

Location: Maryland, United States. Applicants must already hold a TS/SCI clearance with a current Full Scope Polygraph. Clearance sponsorship or processing is not available.

Salary: $163,000–$178,000 per year, plus $41,000–$44,000 in immediately vested company 401(k) contributions.

Company

hirify.global develops mission-focused software and AI-assisted solutions for cyber-professional operations, training, and certification workflows.

What you will do

  • Gather requirements with training staff and stakeholders and identify process bottlenecks.
  • Implement and test AI-driven solutions that streamline readiness and certification workflows under senior-engineer guidance.
  • Configure AI harnesses and develop and maintain custom Skills and Model Context Protocol (MCP) servers connecting AI workflows with organizational data and tools.
  • Contribute to prototyping, coding, testing, and delivery of assigned features across the development lifecycle.
  • Build and maintain automation scripts and tools with Python and Bash.
  • Use AI tools to support JQS and TQS documentation, and write technical documentation, user guides, and training materials.

Requirements

  • Current TS/SCI clearance with a Full Scope Polygraph is required before applying; candidates seeking to obtain a clearance do not meet the minimum requirements.
  • Three years of experience and either a B.S. in a technical discipline or four additional years of experience in place of the degree.
  • Proficiency in at least one scripting or programming language; Python or Bash is preferred.
  • Understanding of software engineering fundamentals, including Git, testing, and debugging.
  • Basic knowledge of operating systems and networking concepts.
  • Familiarity with AI/LLM tools and interest in applying them to automate routine tasks.
  • Ability to write clear, organized technical documentation.
  • Strong communication skills and willingness to learn from senior engineers and subject-matter experts.

Nice to have

  • Experience or coursework with AI harnesses and agentic workflows, including Skills or MCP servers.
  • Exposure to systems engineering concepts from design through delivery.
  • Experience with C++.
  • Familiarity with LLM prompt engineering, evaluation, or Retrieval-Augmented Generation (RAG).
  • Familiarity with web development frameworks such as React and TypeScript for user-facing tools.
  • Exposure to Job Qualification Standards (JQS) or other training and certification documents.

Culture & Benefits

  • Mission-focused work addressing real operational challenges in cyber training and certification.
  • Collaboration with senior engineers, training staff, organizational strategists, and subject-matter experts.
  • Opportunity to gain hands-on experience with AI agents, Skills, MCP integrations, and CNO operational and training environments.
  • Additional immediately vested company 401(k) contributions of $41,000–$44,000.

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