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14 дней назад

Senior Applied AI Engineer (AI)

Формат работы
onsite
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 Applied AI Engineer (AI): Building and integrating production-ready AI tools, agents, and workflows across engineering, supply chain, and flight test with an accent on RAG architectures, enterprise integrations, and AI governance. Focus on designing scalable systems, evaluating models, deploying self-hosted AI platforms, and securing workflows involving export-controlled information.

Location: Torrance, California, United States

Company

An early-stage defense systems company developing and delivering advanced capabilities.

What you will do

  • Define the AI tooling and integration roadmap with teams across engineering, supply chain, flight test, IT, programs, and cybersecurity.
  • Architect and implement scalable, production-ready AI integrations for organization-wide use cases.
  • Integrate AI tools with enterprise systems and data sources.
  • Establish standards for model selection, prompt engineering, AI development, and governance.
  • Evaluate emerging AI technologies and support strategic internal adoption.

Requirements

  • 7+ years of software development experience with strong Python proficiency and experience in at least one static language such as C, C++, C#, or Java.
  • 2+ years of applied AI experience owning an AI agent, LLM-powered workflow, or automation project from prototype through production.
  • Experience with prompt engineering, fine-tuning, model evaluation, RAG architecture, vector databases, and embedding models.
  • Strong stakeholder collaboration and requirements-gathering skills.
  • Bachelor’s degree in computer science, another STEM field, or equivalent work experience.
  • Access to export-controlled information may require U.S. Government security clearance, authorization, citizenship, or other eligibility requirements.

Nice to have

  • 10+ years of software development experience.
  • Experience deploying self-hosted AI platforms on Azure, AWS, or GCP.
  • Experience using Model Context Protocol to integrate enterprise data sources with AI applications.
  • Knowledge of automated containerized deployment.
  • Experience building and leading small teams.

Culture & Benefits

  • Significant ownership and direct impact in an early-stage environment.
  • Cross-functional collaboration with specialized teams.
  • Generous benefits package.
  • Equal opportunity workplace with reasonable accommodations available throughout the hiring process.

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