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2 дня назад

Cognitive AI Engineer SWE

109 722 - 253 707$
Формат работы
onsite
Тип работы
fulltime
Грейд
junior/middle/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
Cognitive AI Engineer SWE (AI/Data Engineering): Building full-stack applications, ETL workflows, and scalable data ingestion systems that reconcile requested and deployed infrastructure with an accent on AI-enabled analysis, streaming analytics, and mission-critical operational insights. Focus on designing reliable data pipelines, surfacing infrastructure discrepancies and policy violations, and delivering features from concept through production.

Location: Onsite in Annapolis Junction, Maryland, United States. All applicants must currently reside in the United States.

Salary: USD $109,722–$253,707 per year.

Company

hirify.global provides AI-powered decision intelligence solutions for national security, supply chain management, and digital identity.

What you will do

  • Design, develop, and maintain full-stack applications across frontend and backend systems.
  • Build ETL workflows and data ingestion capabilities that reconcile requested infrastructure with infrastructure actually deployed.
  • Integrate data products and analytical results into user-focused applications and visualizations.
  • Use AI and machine learning tools to accelerate data analysis, prototype solutions, and improve engineering workflows.
  • Identify infrastructure discrepancies, policy violations, and deviations from approved best practices.
  • Drive features through concept, implementation, testing, deployment, and continued improvement while collaborating with engineers, data specialists, subject matter experts, and stakeholders.

Requirements

  • Active TS/SCI clearance with polygraph.
  • Strong proficiency in Python and experience developing data pipelines, ETL workflows, or data processing applications.
  • Experience with Kafka and streaming analytics, plus working knowledge of relational databases.
  • Demonstrated ability to use AI/ML tools to accelerate data analysis and engineering solution development.
  • Ability to collaborate effectively across technical and mission-focused teams.
  • Bachelor’s degree in a technical discipline, or additional relevant experience in lieu of a degree.
  • Experience level options: Level 0 requires a bachelor’s degree or 4 additional years of relevant experience; Level 1 requires 3+ years of experience and a bachelor’s degree, or 4 additional years of relevant experience; Level 2 requires 8+ years of experience and a bachelor’s degree, or 4 additional years of relevant experience; Level 3 requires 12+ years of experience and a bachelor’s degree, or 10+ years of experience and a master’s degree.

Nice to have

  • Hands-on experience supporting production cyber network operations capabilities.
  • Experience analyzing cybersecurity datasets, including network traffic and operating system events.
  • Understanding of end-to-end SIGINT collection and analysis systems.
  • Familiarity with ClickHouse.
  • Exposure to dataflow, data science, mission analytics, or operational technology environments.

Culture & Benefits

  • Mission-focused work supporting infrastructure awareness, analytics, and national security operations.
  • Iterative environment with cross-functional collaboration and meaningful operational impact.
  • Compensation varies based on skills, experience, education, certifications, location, and other factors.
  • Estimated compensation excludes the value of offered benefits.

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