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# Generative AI Software Developer/Engineer - Aerospace Technologies Development Sandbox (on-site)

- **Company:** Intone Networks
- **Location:** Cedar Rapids, IA, United States
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Machine Learning, Software Engineering, Haystack, Large Language Models, Technical Debt, Generative AI
- **Published:** November 8, 2026
- **Apply:** https://www.careerbuilder.com/job-details/generative-ai-software-developer-engineer-aerospace-technologies-development-sandbox-on-site-cedar-rapids-ia--58280fb9-db53-4b8b-9125-805d220b6281

## About the Role

Software Development, Artificial Intelligence (AI), Software Engineering, Aerospace Engineering, Avionics, Software Engineering, Aerospace and Defense, Artificial Intelligence (AI), Machine Learning, Cost Control, * Required

 * Experience deploying Generative AI powered applications
 * Experience with Large Language Model (LLM) development frameworks (e.g., LangChain, Haystack)

## Description

We are seeking an experienced Software Engineer with professional or personal project experience in Artificial Intelligence, Machine Learning, or Generative AI for a 12-month contract position in Cedar Rapids, Iowa. You will join the Applied Research and Technology (ART) Aerospace Technologies Team, which is part of a Development Sandbox chartered with defining disruptive process improvements for aerospace business capabilities-enabling faster cycle times, lower total lifecycle costs, reduced technical debt, and greater reusability in next-generation avionics systems., * Develop, design, and conduct experiments to accelerate business capabilities in Generative AI for safety-critical development

 * Approach everyday problems with passion, curiosity, and innovative thinking
 * Thrive in a collaborative environment, communicate clearly, and provide technical guidance, mentoring, and support to multiple sub-projects
 * Take strong ownership and initiative while empowering others to do the same
 * Prioritize positive impact and data-driven decision-making
 * Work transparently, promote trust, and make decisions based on evidence and science
 * Take calculated risks and rapidly iterate to find optimal solutions