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AI Agent Engineer
Ge Vernova
Energy tech co. that designs, builds, services gas, nuclear, hydro, steam & wind power systems globally.
Design, develop, and deploy autonomous AI agents using LLMs and ML.
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
Prototype, deploy, and maintain AI-driven systems ensuring reliability and performance in production environments.
Document AI Agent architectures, design decisions, workflows, and maintain comprehensive technical documentation.
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.
Optimize agent behavior through continuous feedback, reinforcement learning, and user interaction.
Stay current with emerging AI technologies, contribute to platform and tooling improvements, and share knowledge within the team.
Monitor AI Agent performance, conduct rigorous evaluations, implement safety guardrails, and ensure ethical AI practices.
Integrate AI Agents with APIs, backend services, databases, and enterprise applications.
Collaborate closely with research, engineering, product, and deployment teams to iterate on agent capabilities and innovate continuously.
What you bring
llms
python
aws
kubernetes
master's
prompt engineering
Demonstrated ability to work independently in fast-paced, experimental environments.
Strong understanding of machine learning model training, fine-tuning, and evaluation techniques.
Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, AI Engineering, or related fields.
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.
Hands-on experience with LLMs, prompt engineering, and natural language processing (NLP).
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).
Knowledge of agent orchestration platforms and multi-agent systems (e.g., AutogenAI, LangGraph, MCP protocol).
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
Expertise with AI/ML libraries and frameworks such as LangChain, OpenAI APIs, PyTorch, TensorFlow, commercial or open source LLMs.
Must be willing to work out of an office located in Niskayuna, NY.
Minimum 2-3 years of experience in AI, GenAI application development & deployment particularly with autonomous agent systems or related AI software engineering roles.
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
Awareness of AI ethics, data privacy, and secure handling of sensitive information.
Must be 18 years or older.
Proficiency in Python and/or languages like JavaScript, TypeScript, Node.js, or Java, Go, with strong coding and software engineering practices.
Benefits
Information not given or found
Training + Development
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Interview process
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Visa Sponsorship
no visa sponsorship will be provided; legal us work authorization required.
Security clearance
offer contingent on successful drug screening (as applicable).
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