AI/ML Software Engineer

GE Aerospace is a leading company in the aerospace sector, seeking an AI/ML Software Engineer. This role involves operating across the full lifecycle of AI system development, including designing and integrating AI models, collaborating with teams, and enhancing product functionality through AI-driven solutions.

Responsibilities:

• 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
• Stay current with advancements in AI, LLMs, and agentic architectures

Requirements:

• 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
• This role requires access to U.S. export-controlled information. Therefore, employment will be contingent upon the ability to prove that you meet the status of a U.S. Person as one of the following: U.S. lawful permanent resident, U.S. Citizen, have been granted asylee or refugee status (i.e., a protected individual under the Immigration and Naturalization Act, 8 U.S.C. 1324b(a)(3))
• Provide a valid LinkedIn profile
• 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