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, 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.
Additional Information
GE Aerospace offer
Benefits
Health insuranceDental insuranceVision insurance401(k)Paid time offPerformance bonusParental leave
Additional Information
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
Ge Aerospace · Evendale