Sr. AI Agent Engineer jobs in United States
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GE Vernova · 1 month ago

Sr. AI Agent Engineer

GE Vernova is seeking a highly motivated and talented Sr AI Agent Engineer to join their dynamic team. This role involves creating and optimizing prompts for LLMs, collaborating with experts to develop software solutions, and making a tangible impact on business processes.

EnergyEnergy EfficiencySustainability

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

Qualification

PythonAI/ML frameworksLLMs expertiseCloud deploymentNatural language processingAgent orchestrationMachine learning lifecycleTeam collaborationProblem-solvingAdaptability

Required

PhD or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, AI Engineering, or related fields
For candidates with Masters, minimum 6 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
Hands-on 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
Expertise 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
Proficiency in Python and/or languages like JavaScript, TypeScript, Node.js, or Java, Go, with strong coding and software engineering practices
Expertise with AI/ML libraries and frameworks such as LangChain, OpenAI APIs, PyTorch, TensorFlow, commercial or open source LLMs
Hands-on experience with LLMs, prompt engineering, and natural language processing (NLP)
Knowledge of agent orchestration platforms and multi-agent systems (e.g., AutogenAI, LangGraph, MCP protocol)
Familiarity with data management, vector databases, semantic retrieval, and real-time data pipelines
Experience deploying AI systems on cloud platforms (AWS, Google Cloud) with container orchestration (Docker, Kubernetes)
Strong understanding of machine learning model training, fine-tuning, and evaluation techniques
Awareness of AI ethics, data privacy, and secure handling of sensitive information

Benefits

Healthcare benefits include medical, dental, vision, and prescription drug coverage; access to a Health Coach, a 24/7 nurse-based resource; and 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, as well as access to Fidelity resources and planning consultants.
Other benefits include tuition assistance, adoption assistance, paid parental leave, disability insurance, life insurance, and paid time-off for vacation or illness.
Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and 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.
Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off.

Company

GE Vernova

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GE Vernova provides energy consulting, gas power, and grid solutions.

Funding

Current Stage
Public Company
Total Funding
$7.68M
Key Investors
U.S. Department of Energy Office of ElectricityARPA-E
2024-12-03Grant· $1.99M
2024-12-03Grant· $2.99M
2024-11-18Grant· $2.7M

Leadership Team

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Scott Reese
President and CEO, GE Digital
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Scott Strazik
Chief Executive Officer
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Company data provided by crunchbase