Supports the development of AI-enabled software applications and workflows across the software lifecycle. Responsibilities include integrating AI/ML models, developing orchestration and automation logic, writing scalable code, collaborating with cross-functional teams, and testing and monitoring AI systems. The role involves learning applied AI, LLM, prompt engineering, model evaluation, and cloud or containerized deployment technologies.
Job Description SummaryThis role is for someone interested in applied AI, software development, and data-driven problem solving. You will support the development of AI-enabled applications in an agile environment, working with experienced engineers across the full software lifecycle. The role offers opportunities to contribute to front-end and back-end development, help integrate AI capabilities into applications, and learn how AI-driven solutions can enhance product functionality and user experience in support of the future of flight.Job Description
#LI-Remote - This is a remote position
Key Responsibilities:
- Support the design, development, and maintenance of AI-enabled workflows and software applications
- Assist with integrating AI/ML models into application environments
- Collaborate with cross-functional teams to understand requirements and contribute to AI-driven solutions
- Help develop orchestration logic and automation workflows for AI use cases
- Write clean, maintainable, and scalable code under team guidance and development standards
- Support testing, monitoring, and improvement of AI systems and software applications
- Stay current with emerging AI, LLM, and software development practices
Minimum Required Qualifications:
- Bachelor’s Degree in Computer Science or STEM majors (Science, Technology, Engineering, and Math)
- Minimum of 1 year of experience in software engineering, AI/ML, data science, or a related technical field
- 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.
- Coursework, internship, co-op, or project experience in software development and/or AI/ML
- Foundational programming skills in Python and familiarity with common development tools such as GitHub, JupyterHub, or Visual Studio
- Interest in building AI-driven applications and learning how to deploy models in software environments
- Exposure to prompt engineering, model evaluation, or applied AI concepts through coursework, internships, or projects
- Familiarity with cloud platforms such as AWS, Azure, or GCP is a plus
- Exposure to containerization tools such as Docker or Kubernetes is a plus
- Exposure to orchestration frameworks such as LangChain, AutoGen, CrewAI, or similar is a plus
- Basic understanding of AI/ML concepts, including LLMs
- Strong problem-solving skills, curiosity, and willingness to learn in a collaborative environment
- Ability to communicate effectively with technical team members and stakeholders
This role will require in-person attendance for New Hire Orientation on Day 1.
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)).
Additional InformationGE Aerospace offers a great work environment, professional development, challenging careers, and competitive compensation. GE Aerospace is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
GE Aerospace will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Employees may also be subject to random and reasonable-suspicion drug and alcohol testing.
Relocation Assistance Provided: No
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