AI Systems Engineer – Aerospace Integrations

Element 84

AI Systems Engineer designing multi-agent systems for NASA's Text-to-Spaceship initiative, bridging AI and physical reality. Focusing on reliable AI-driven automation and valid spacecraft designs.

Posted 6/3/2026full-timeRemote • Pennsylvania, Virginia • 🇺🇸 United StatesJuniorMid-Level💰 $156,500 - $189,000 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformPythonTypeScript

About the role

Key responsibilities & impact

Design and build the multi-agent systems that power NASA's Text-to-Spaceship initiative
Translate physical constraints into prompt contexts, structured outputs, and agent guardrails
Design and implement programmatic workflows for Finite Element Analysis (FEA) and computational fluid dynamics (CFD)
Vet AI-generated structural designs, identifying edge cases and impractical geometries
Design and implement agentic frameworks for complex engineering workflows
Build pipelines that convert natural language mission requirements into structured specifications
Connect AI agents to external engineering tools via custom API integrations
Deploy and scale AI workloads across cloud providers using containerized architectures
Build evaluation frameworks for agentic applications

Requirements

What you’ll need

2+ years working as a software engineer within the aerospace field
Mechanical & Aerospace Engineering Fundamentals
Hands-on experience with the scripting APIs of industry-standard engineering tools (e.g., Python APIs for Autodesk Fusion 360, ANSYS, NASTRAN, or SolidWorks)
Familiarity with aerospace-grade materials (titanium, aluminum alloys, carbon fiber composites)
Ability to interpret and programmatically apply GD&T (Geometric Dimensioning and Tolerancing) and NASA/aerospace engineering standards
Experience with AWS services and architecture; familiarity with other cloud providers (GCP, Azure) is a plus
Real-world experience with Python; secondary proficiency in TypeScript is a plus
Strong grasp of API design, containerization, and connecting heterogeneous tools and data formats into automated pipelines
Experience with IaC tools and reproducible cloud deployments
Deep understanding of how large language models work — context windows, structured output, prompt engineering, and model selection trade-offs

Benefits

Comp & perks

Competitive medical, dental and vision benefits
Life Insurance, Short & Long Term disability insurance
Voluntary Accident, Critical Illness & Hospital Insurance
401(k) and Roth 401(k) retirement plans with a fixed 3% of salary employer contributions (paid regardless of employee participation)
Health savings account with a company contribution
Flexible spending accounts (medical, dependent care and transportation)
Company-paid parental leave after one year of employment
Flexible work schedules
Paid employee assistance program
6 paid floating holidays
4 weeks + 1 day paid Vacation Time Off per calendar year (prorated first year)
40 hours paid Sick Leave
Cell phone stipend

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonTypeScriptFinite Element Analysis (FEA)Computational Fluid Dynamics (CFD)API designContainerizationGeometric Dimensioning and Tolerancing (GD&T)Large language modelsPrompt engineeringInfrastructure as Code (IaC)