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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer - **Company:** GE Aerospace - **Location:** United States (Remote available) - **Experience:** Starter - **Contract:** Internship / Graduate position - **Skills:** Adobe InDesign, Agile Methodology, Artificial Intelligence, Amazon Web Services, Computer Vision, Microsoft Azure, C++ (Programming Language), Code Review, Computer Programming, Databases, Continuous Integration, Information Engineering, Software Debugging, Distributed Data Store, Python (Programming Language), Machine Learning, Software Engineering, Flask (Web Framework), Large Language Models, Prompt Engineering, Generative AI, Git, Fastapi, Information Technology, Web Technologies, Machine Learning Operations, Restful APIs, Software Version Control, Golang - **Published:** August 12, 2026 - **Apply:** https://geaerospace.wd5.myworkdayjobs.com/GE_ExternalSite/job/Remote/Software-Engineer_R5038541-1 ## About the Role * Bachelor's degree in Computer Science or another STEM discipline * 0-2 years of professional experience in software engineering, data, or AI (internship and co-op experience counts) * Proficiency in programming and debugging with at least one of the following languages: Python, C++, Go, or Rust * Experience working with databases and SQL * Hands-on experience in at least one of the following: Machine Learning, Large Language Models (LLMs), or Computer Vision * Experience building solutions on a public cloud platform such as AWS or Azure Desired Qualifications * Strong academic performance * Experience designing AI solutions and architecting distributed data systems * Familiarity with LLM application technologies and patterns, such as retrieval-augmented generation (RAG), agentic workflows, prompt engineering, vector databases and embeddings, and LLM evaluation * Experience building and serving REST APIs (e.g., FastAPI, Flask) and packaging AI capabilities for reuse across teams (e.g., Model Context Protocol / MCP servers) * Familiarity with MLOps practices, such as experiment tracking (e.g., MLflow), model registries, automated training pipelines, and model monitoring * Customer-centric mindset with the ability to facilitate design thinking workshops * Prior internship, co-op, or project experience in software, data, or AI (GE Aerospace internship experience is a plus) * Familiarity with modern engineering practices: version control (Git), CI/CD, containers, and agile development * AWS and/or Azure certification (preferred but not required) Our culture thrives on innovation, diversity, and deep collaboration. You'll contribute as both a learner and a builder, helping us push the design frontier in aerospace. ## Description We are keen on building scalable, long-lasting solutions - software designed to outlive its first release. That means investing in good design over quick fixes: clean abstractions, simple interfaces, and code that clearly communicates its intent. Working code isn't the finish line; we continually refine our systems so they remain easy to understand, extend, and maintain as they grow, because small design investments today compound into velocity tomorrow. What You Will Do * Design, build, and ship production-grade solutions - LLM-powered applications, machine learning models, and APIs - that enable engineers to evaluate and adopt data and AI capabilities * Consult on architecture and deliver solutions for business-strategic projects, including data science and machine learning systems * Own features end-to-end - design, implementation, testing, deployment, and production support - to meet business needs and drive measurable impact * Build and present product architectures, write high-quality technical code, participate in design and code reviews, and demo applications to stakeholders and senior leaders * Apply the Innovator Method and lead design thinking workshops to turn customer insights into solutions that deliver real business value * Apply cloud platforms, databases, data engineering, web technologies, and numerical methods in your work - and stay current with advances in AI, LLMs, and agentic architectures * Collaborate closely with teammates, share knowledge and use your strengths to support the team, and build cross-functional relationships across the company ## Related Videos - [Engineering Mindset in the Age of AI - Gunnar Grosch, AWS](https://www.wearedevelopers.com/videos/1735-engineering-mindset-in-the-age-of-ai-gunnar-grosch-aws) - [Intro to FastAPI](https://www.wearedevelopers.com/videos/462-intro-to-fastapi) - [Go with the Flow: Stop the Leaks Before Your Memory's a Waterfall!](https://www.wearedevelopers.com/videos/100073-go-with-the-flow-stop-the-leaks-before-your-memory-s-a-waterfall) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [Building and Deploying Multi-Agent Systems with ADK and Vertex AI](https://www.wearedevelopers.com/videos/1918-building-and-deploying-multi-agent-systems-with-adk-and-vertex-ai) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)