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3 часа назад

AI Developer

77 600 - 176 000$
Формат работы
remote (только USA)
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

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TL;DR

AI Developer (Agentic Frameworks): Train, test, deploy, and maintain models that learn from data to optimize organizational efficiency for the Air Force with an accent on agentic workflows, LLMs, RAG, and GraphRAG. Focus on building secure data foundations, event-driven integrations, and MLOps practices in regulated environments.

Location: Arlington, VA, USA (primary); additional San Antonio, TX, USA. Remote work available, but occasional in-person work at Booz Allen or customer facilities may be required. Secret clearance required.

$77,600 - $176,000 USD (annual)

Company

Consulting firm delivering AI solutions for Department of Defense and national security missions.

What you will do

  • Own and define direction of mission-critical AI solutions using cutting-edge agentic frameworks.
  • Train, test, deploy, and maintain ML models that process massive datasets.
  • Develop and deploy AI-enabled applications like LLMs, RAG, GraphRAG, and tool-calling for mission problems.
  • Build secure data foundations on AWS with governed ingest, data catalogs, and data mesh products.
  • Design event-driven integrations, workflow automation, and MLOps/DevSecOps in constrained environments.
  • Collaborate with data engineers, scientists, architects, and product owners to transform Air Force operations.

Requirements

  • 2+ years building production-grade software in Python, TypeScript, or Java with APIs (FastAPI, Flask, REST, GraphQL, SQL)
  • Experience developing/deploying AI apps (LLMs, RAG, GraphRAG, agentic workflows) for industry/government/national security
  • Experience with secure data on AWS, event-driven integrations, and MLOps/DevSecOps in regulated environments
  • Secret clearance
  • Bachelor’s degree in CS, Software Engineering, or Data Science

Nice to have

  • Geospatial/3D data (point clouds, LiDAR, photogrammetry, digital twins).
  • Knowledge graphs, vector databases, semantic search.
  • Sensor/IoT integrations (Kafka, NATS, RabbitMQ).
  • Deployments in air-gapped/classified environments, Kubernetes, Terraform.
  • Computer vision, multimodal analytics, domain SME collaboration.

Culture & Benefits

  • Health, life, disability, financial, retirement benefits; paid leave; professional development; tuition assistance.
  • Work-life programs, dependent care, recognition awards for performance.
  • People-first culture emphasizing collaboration, with cameras on during virtual meetings.
  • Full-time employees (20+ hours/week) eligible for comprehensive benefits.

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