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5 дней назад

Senior AI Developer

106 480 - 185 149$
Формат работы
hybrid
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
Senior AI Developer (Python/RAG): Developing AI-enabled software capabilities for cyber situational awareness, mission assurance, and operational management with an accent on retrieval-augmented generation, context engineering, and AI agent integrations. Focus on building MCP servers, evaluating AI models, managing implementation costs, and delivering secure applications across the full software lifecycle.

Location: Dahlgren, Virginia; must be local to the work location, with flexibility for occasional telework.

Salary: $106,480.81–$185,149.47 annually.

Company

hirify.global is a federal government contractor providing software, hardware, cyber analysis, and mission-support capabilities for Navy and Department of Defense programs.

What you will do

  • Develop and modify software applications from requirements specifications.
  • Design, code, benchmark, test, debug, document, and sustain application features.
  • Develop AI-enabled capabilities supporting cyber situational awareness, command and control, mission assurance, and homeland defense.
  • Implement retrieval-augmented generation workflows, context engineering processes, and AI agent integrations.
  • Conduct performance, load, stress, security, and enterprise application assessments.
  • Participate in the complete application lifecycle within an agile team, including planning, implementation, testing, deployment, and sustainment.

Requirements

  • Active Secret clearance and ability to obtain and maintain a TS/SCI clearance.
  • DoDD 8140.01 Information Assurance Management Level I certification or higher.
  • Bachelor’s degree with 8–10 years of experience, master’s degree with 6–8 years, or PhD with 3–5 years.
  • Professional experience with Python and software applications that interface with AI systems.
  • Experience with AI workflow frameworks such as Haystack, LangChain, or LlamaIndex; retrieval-augmented generation; and context engineering.
  • Experience developing MCP servers, evaluating AI model performance, defining AI agent instructions, and managing AI implementation costs.

Nice to have

  • Experience with FastAPI.

Culture & Benefits

  • Agile work environment with sprint planning, retrospectives, reviews, and daily standups.
  • Health insurance, life insurance, paid time off, holiday pay, disability coverage, and retirement savings options.
  • Learning and development opportunities and wellness programs.
  • Work supporting federal cyber defense and mission assurance programs.

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