AI/ML Software Engineer
- 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)
- 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.
- 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.
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