AI and Machine Learning Software Engineer

Job Description Summary This exciting role combines the responsibilities of an AI engineer, data scientist, and software developer, ideal for individuals who thrive across the entire lifecycle of AI system development. You'll have the opportunity to play a crucial role in crafting and enhancing software in a dynamic and collaborative environment. Work alongside a team of skilled engineers to develop user-friendly front-end interfaces and robust back-end services. Your work will directly contribute to the evolution of AI-driven solutions that enhance product functionality and improve user experience. Key Responsibilities: Design, build, and maintain autonomous systems and intelligent workflows. Develop and integrate state-of-the-art AI models into production-quality applications. Collaborate with diverse teams to gather insights and deliver innovative AI solutions. Implement orchestration logic for multi-agent systems and automate tasks effectively. Write clean, scalable, and maintainable code to support AI objectives. Monitor, optimize, and troubleshoot the performance of AI systems deployed in production. Stay updated on the latest advancements in AI technologies, including LLMs and agentic architectures. Minimum Required Qualifications: Bachelor's Degree in Computer Science or a related STEM field, with at least 3 years of experience in AI/ML engineering. OR a high school diploma/GED with a minimum of 7 years of experience in AI/ML engineering. Note: GE Aerospace does not sponsor employment visas for this position. Preferred Skills and Qualifications: A valid LinkedIn profile is required. Experience as a Full Stack Engineer with a strong AI/ML background. Familiarity with AWS tools to design and implement AI-driven systems, including crafting effective prompts and validating model performance. Ability to build data pipelines for training, evaluation, and review of models. Strong software development skills in Python, with experience using JupyterHub, GitHub, Visual Studio, etc. Exposure to designing and building intelligent workflows or multi-agent systems. Familiarity with orchestration frameworks such as LangChain, AutoGen, CrewAI, or similar. Solid understanding of AI/ML concepts, including LLMs and prompt engineering techniques. Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes). Proven ability to tackle complex and ambiguous challenges. Demonstrated experience applying AI/ML techniques to real-world scenarios. Strong interpersonal skills to effectively engage with customers and provide technical support. Our competitive benefits package includes comprehensive healthcare (medical, dental, vision, and prescription drug coverage), access to a Health Coach, and a 24/7 nurse resource. We offer a robust retirement plan including the GE Retirement Savings Plan, a 401(k) savings opportunity with company matching contributions, tuition assistance, adoption assistance, paid parental leave, disability and life insurance, as well as paid time off for personal and health needs. This position requires access to U.S. export-controlled information; employment will depend on your ability to prove you meet the status of a U.S. Person. Additional Information Join GE Aerospace for an engaging work environment, opportunities for professional development, and a chance to work on projects that push the boundaries of technology. GE Aerospace is committed to diversity and is an Equal Opportunity Employer. Employment decisions are based on merit and without regard to race, color, religion, national origin, gender, sexual orientation, disability, or protected veteran status. GE Aerospace will only consider applicants who are legally authorized to work in the U.S. for this position. An offer of employment is contingent upon the successful completion of a drug screen (if applicable). Relocation Assistance Provided: No #LI-Remote - This position is remote.

Created: 2026-03-10