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
Requirements
Bachelor's Degree in Computer Science or “STEM” Majors (Science, Technology, Engineering and Math) with 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
Provide a valid LinkedIn profile
Proven experience as a Full Stack Engineer with AI/ML background
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) 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
Benefits
Healthcare benefits include medical, dental, vision, and prescription drug coverage
Access to a Health Coach, a 24/7 nurse-based resource
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
Access to Fidelity resources and planning consultants
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