AI​/ML Software Engineer

Job Description Summary

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.
• Minimum of 3 years in AI/ML engineering experience.
• Must not require or seek employment‑visa sponsorship from GE Aerospace.

• Provide a valid Linked In profile.
• Proven experience as a full‑stack engineer with an AI/ML background.
• Experience designing and building AI‑driven systems using AWS and other cloud platforms.
• Proficiency in Python, Jupyter Hub, Git Hub, Visual Studio, etc.
• Experience building prototype‑level data pipelines for model training, evaluation, and review.
• Exposure to designing agentic workflows or multi‑agent systems.
• Familiarity with orchestration frameworks (e.g., Lang Chain, Auto Gen, CrewAI).
• Understanding of AI/ML concepts, LLMs, and prompt engineering.
• Knowledge of containerization (Docker, Kubernetes) and solution architecture.
• Ability to navigate ambiguous or complex challenges and interact with customers to understand their needs.

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