AI/ML Software Engineer

at GE Aerospace in Dover, Delaware, United States Job Description Job Description Summary 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.

Job Description Key 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

Minimum Required Qualifications:

+ 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, To view full details and how to apply, please login or create a Job Seeker account