About the role

Senior AI Agent Engineer at GE Vernova developing AI systems for advanced technology solutions. Responsible for optimizing LLM prompts, collaborating with experts, and pushing agentic intelligence boundaries.

Responsibilities

Design, implement, and optimize AI Agents using LLMs, reinforcement learning, planning algorithms, and decision-making frameworks
Develop scalable multi AI Agent architectures supporting long horizon reasoning, autonomy, planning, interaction, and complex task completion
Integrate AI Agents with APIs, backend services, databases, and enterprise applications
Prototype, deploy, and maintain AI-driven systems ensuring reliability and performance in production environments
Optimize agent behavior through continuous feedback, reinforcement learning, and user interaction
Collaborate closely with research, engineering, product, and deployment teams to iterate on agent capabilities and innovate continuously
Monitor AI Agent performance, conduct rigorous evaluations, implement safety guardrails, and ensure ethical AI practices
Document AI Agent architectures, design decisions, workflows, and maintain comprehensive technical documentation
Stay current with emerging AI technologies, contribute to platform and tooling improvements, and share knowledge within the team
Your mission is to push the boundaries of planning, reasoning, and agentic intelligence. You will design and implement large-scale AI/ML solutions integrating the latest state of the art research in our global products.

5+ years of relevant experience and a Master’s or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, AI Engineering, or related fields
3+ years of experience in AI, GenAI application development & deployment particularly with autonomous agent systems or related AI software engineering roles
Demonstrated ability to work independently in fast-paced, experimental environments
3+ years of experience designing and building GenAI apps that allow users to experience AI use cases supporting features like agent orchestration, multi-step reasoning, prompt engineering, RAG integration, and model selection
3+ years of experience with LLMs and deep learning models, machine learning lifecycle management, data generation methods, model training & validation coupled with strong fundamentals and passion in software engineering and system architecture
Must be 18 years or older
Legal authorization to work in the U.S. is required. We will not sponsor individuals at the Bachelor’s level for employment visas, now or in the future, for this job opening.

medical, dental, vision, and prescription drug coverage
access to Health Coach from GE Vernova, 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 Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants
tuition assistance
adoption assistance
paid parental leave
disability benefits
life insurance
12 paid holidays
permissive time off