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1 день назад

AI Developer (Software Engineering, Junior Analyst)

80 000 - 103 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
junior
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
AI Developer (Software Engineering, Junior Analyst) (LLM/ML): Developing AI applications, prototypes, demonstrations, and web-based solutions for business, IT, and cybersecurity use cases with an accent on cloud and closed-system environments, AI API services, and open-source models. Focus on architecting AI-enabled applications, integrating LLM and ML platforms, managing local model deployments, and creating client demonstrations.

Location: Washington, DC; hybrid schedule required

Salary: $80,000–$103,000 per year

Company

hirify.global delivers solutions in cybersecurity, engineering, financial management, and information technology, supporting federal government and commercial clients.

What you will do

  • Set up AI development environments in cloud-based and closed-system infrastructures.
  • Monitor and manage AI API services and research current AI models for business, IT, and cybersecurity use cases.
  • Use LLMs, ML, data analytics applications, and business applications with integrated LLMs to develop prototypes and customer solutions.
  • Create client demonstrations and demonstrate AI use cases.
  • Install and maintain open-source AI models on local hardware and closed networks.
  • Develop and deploy web-based applications.

Requirements

  • Software development experience with applied use of LLMs and/or ML.
  • Ability to architect and implement AI-enabled applications using platforms such as OpenAI, Anthropic, Google Gemini, xAI, Microsoft Copilot, and open-source models.
  • BA/BS degree in Information Technology or a relevant business field.
  • Secret security clearance.
  • Availability for approximately 25% travel.

Nice to have

  • Python experience.
  • MS Azure and Power Suite experience.
  • Experience fine-tuning or training language models.
  • Experience training custom ML models.

Culture & Benefits

  • Health, life, disability, and retirement plans for full-time employees.
  • Paid time off and opportunities for professional growth.
  • Tuition assistance and additional benefits or incentives.
  • Collaborative, people-focused work environment.

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