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2 дня назад

AI Systems Engineer (Aerospace)

13 042 - 15 750$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
c1
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 Systems Engineer (Aerospace/Python): Designing and building multi-agent AI systems for NASA's Text-to-Spaceship initiative to convert natural language requirements into spacecraft designs with an accent on agentic workflows and physics-informed constraints. Focus on integrating LLMs with CAE/FEA tools and deploying scalable infrastructure on AWS to generate manufacturable hardware.

Location: Remote (USA). Must be based within 100 miles of Alexandria, VA or Philadelphia, PA

Salary: $156,500 – $189,000

Company

hirify.global is a woman-owned small business specializing in cloud-based geospatial data processing, remote sensing, and Earth science systems.

What you will do

  • Architect and build autonomous multi-agent systems using LLMs, RAG, and reinforcement learning.
  • Translate physical constraints (mass, thermal, radiation) into programmatic guardrails for AI agents.
  • Implement automated CAE and FEA workflows for autonomous design validation.
  • Connect AI agents to engineering tools (CAD, FEA, CAM) via MCP and custom APIs.
  • Deploy and scale AI workloads on AWS using containerized architectures.
  • Develop evaluation frameworks to measure agent performance and design reliability.

Requirements

  • 2+ years of software engineering experience in aerospace, defense, or manufacturing sectors.
  • Strong proficiency in Python and experience with AWS architecture.
  • Deep understanding of LLM fundamentals, prompt engineering, and structured outputs.
  • Expertise in Mechanical and Aerospace Engineering fundamentals and materials science.
  • Ability to programmatically apply GD&T and NASA/aerospace engineering standards.
  • Location: Must be based within 100 miles of Alexandria, VA or Philadelphia, PA.

Nice to have

  • Proficiency in TypeScript.
  • Experience with agentic libraries like Pydantic AI and Model Context Protocol (MCP).
  • Knowledge of RL, uncertainty quantification, or reduced-order models.
  • Open-source contributions to AI libraries or a portfolio of deployed LLM applications.

Culture & Benefits

  • Comprehensive medical, dental, and vision insurance with HSA/FSA options.
  • 401(k) with fixed 3% employer contribution.
  • Flexible work schedules and a strong culture of curiosity and respect.
  • Company-paid parental leave and an employee assistance program.
  • Generous paid time off: 4 weeks + 1 day vacation and 40 hours sick leave.
  • Cell phone stipend.

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