AI/ML Software Engineer
About The Position
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.
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.
Nice To Haves
- 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.
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
Benefits
- medical, dental, vision, and prescription drug coverage
- access to a Health Coach from GE Aerospace
- Employee Assistance Program, which provides 24/7 confidential assessment, counseling and referral services
- GE Aerospace Retirement Savings Plan, a 401(k) savings plan with company matching contributions and company retirement contributions
- access to Fidelity resources and planning consultants
- tuition assistance
- adoption assistance
- paid parental leave
- disability insurance
- life insurance
- paid time-off for vacation or illness
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Mid Level
