GE Aerospace-posted about 24 hours ago
Full-time • Mid Level
Remote • Evendale, OH
5,001-10,000 employees

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.

  • 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
  • Bachelor's Degree in Computer Science or “STEM” Majors (Science, Technology, Engineering and Math) with advanced experience and a minimum of 3 years in AI/ML engineering experience. OR a high school diploma / GED with a minimum of 7 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)).
  • Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).
  • 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.
  • Healthcare benefits include medical, dental, vision, and prescription drug coverage; access to a Health Coach, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services.
  • Retirement benefits include the GE Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and planning consultants.
  • Other benefits include tuition assistance, adoption assistance, paid parental leave, disability insurance, life insurance, and paid time-off for vacation or illness.
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