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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI/ML Software Engineer - **Company:** GE Aerospace - **Location:** Indianapolis, IN, United States (Remote available) - **Experience:** Experienced - **Salary:** $95,000.0 - $140,000.0 - **Contract:** Permanent contract - **Skills:** Clean Code Principles, Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Github, Python (Programming Language), Machine Learning, Microsoft Visual Studio, Software Engineering, Google Cloud, Large Language Models, Multi-Agent Systems, Prompt Engineering, Build Management, Containerization, Kubernetes, Information Technology, Data Pipelines, Docker - **Published:** July 25, 2026 - **Apply:** https://www.juju.com/job/00000000gj7pff ## About the Role + Bachelor's Degree in Computer Science or "STEM" Majors (Science, Technology, Engineering and Math) + Minimum of 3 years in AI/ML engineering experience. + GE Aerospace will not sponsor individuals for employment visas, now or in the future, for this job opening. Preferred Skills and Qualifications: + Provide a valid LinkedIn profile. + This role is a hybrid between an AI engineer, data scientist, and software developer, designed for someone who can operate across the full lifecycle of AI system development. + Proven experience as a Full Stack Engineer with AI/ML background + The work involves using AWS tools to design and build AI-driven systems - not just training or fine-tuning models, but also crafting effective prompts, validating model performance through data analysis, and managing risks like hallucinations or bias. + The role requires building prototype-level data pipelines that move data to and from models for training, evaluation, and review. + Strong software development skills with proficiency in Python, JupyterHub, GitHub, Visual Studio, etc. + Exposure to designing and building agentic workflows or multi-agent systems. + Familiarity with orchestration frameworks (e.g., LangChain, AutoGen, CrewAI, or similar) + Solid understanding of AI/ML concepts, including LLMs and prompt engineering + Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization (Docker, Kubernetes) and in solution architecture. + Ability to navigate ambiguous/complex challenges. + Experience applying AI/ML techniques to solve real-world problems. + Ability to interact with customers, understand their needs, and provide technical support. ## Description This role is a hybrid between an AI engineer, data scientist, and software developer, designed for someone who can operate across the full lifecycle of AI system development. You'll play a key role in defining, developing, and evolving software in an agile environment. You'll work across the stack, from crafting intuitive front-end interfaces to building robust back-end services, all while collaborating with a team of talented engineers. You will also have the opportunity to research and apply AI-driven solutions to enhance product functionality and user experience, making a direct impact on the future of flight., + Design, build, and maintain agentic workflows and autonomous systems + Develop and integrate AI models into production-grade applications + Collaborate with cross-functional teams to gather requirements and deliver AI-driven solutions + Implement orchestration logic for multi-agent systems and task automation + Write clean, scalable, and maintainable code in support of AI initiatives + Monitor and optimize the performance of AI systems in production ## Related Videos - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [Microservices: how to get started with Spring Boot and Kubernetes](https://www.wearedevelopers.com/videos/242-microservices-how-to-get-started-with-spring-boot-and-kubernetes) - [A deep dive into ARC the Kubernetes operator to scale self-hosted runners](https://www.wearedevelopers.com/videos/731-a-deep-dive-into-arc-the-kubernetes-operator-to-scale-self-hosted-runners) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [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) - [The Prompt Engineer ✍️](https://www.wearedevelopers.com/magazine/216-the-prompt-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai)