AI Systems Engineer – Aerospace Integrations

🔥 2 minutes ago

⚔️ Virginia – Remote

⚔️ Virginia – Remote

💵 $156.5k - $189k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

💻 Solutions Engineer

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Element 84

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2010

💼 Consulting

📦 Logistics

🏥 Healthcare

Consulting • Logistics • Healthcare

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 • Architect and build autonomous agentic workflows that orchestrate heterogeneous AI techniques (LLMs, reinforcement learning, RAG, uncertainty quantification) • Build integrations with engineering tools (CAD, FEA, CAM) • Deploy scalable infrastructure on AWS • Ensure text-to-spaceship pipeline generates physically viable, safe, and manufacturable spacecraft components • Translate complex physics, NASA standards, and aerospace load cases into programmatic guardrails for multi-agent systems • Serve as the human-in-the-loop expert to vet AI-generated structural designs • Design and implement agentic frameworks where a lead orchestrator agent coordinates specialized agents across complex engineering workflows • Build pipelines that convert natural language mission requirements into structured specifications (text → JSON) and implement RAG pipelines for engineering knowledge retrieval • Connect AI agents to external engineering tools via MCP and 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, defense, space, or similar manufacturing sectors • 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 • 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. • Deep understanding of how large language models work — context windows, structured output, prompt engineering, and model selection trade-offs • Ability to design and implement evaluation strategies for complex LLM workflows, measuring correctness, reliability, and performance of multi-step autonomous systems

🏖️ 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