AI Systems Engineer – Aerospace Integrations

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Element 84

51 - 200 employees

Founded 2010

🤖 Artificial Intelligence

Software • Artificial Intelligence • Environmental

Element 84 is a woman-owned small business specializing in geospatial data processing and software development for public, private, and non-profit sectors. The company provides advanced technology solutions for geospatial challenges, including cloud-native geospatial processing, interactive data visualization, and machine learning for satellite, aerial, and drone imagery. They offer a range of tools such as FilmDrop, an open-source suite for processing geospatial data in the cloud, and GroundWork, an annotation tool for geospatial imagery. Element 84 aims to build technology that positively impacts the planet's health, infrastructure, and environmental sustainability.

📋 Description

• 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

• 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

• 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

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