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