AI Agent Engineer

Overview

Design and deploy autonomous AI agents using LLMs for GE Vernova.

Key Responsibilities

• ai development
• agent architecture
• system deployment
• performance monitoring
• technical documentation
• cross-team collaboration

Tasks

-Stay current with emerging AI technologies, contribute to platform and tooling improvements, and share knowledge within the team. -Prototype, deploy, and maintain AI-driven systems ensuring reliability and performance in production environments. -Develop scalable multi AI Agent architectures supporting long horizon reasoning, autonomy, planning, interaction, and complex task completion. -Design, implement, and optimize AI Agents using LLMs, reinforcement learning, planning algorithms, and decision-making frameworks. -Document AI Agent architectures, design decisions, workflows, and maintain comprehensive technical documentation. -Optimize agent behavior through continuous feedback, reinforcement learning, and user interaction. -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 -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. -Monitor AI Agent performance, conduct rigorous evaluations, implement safety guardrails, and ensure ethical AI practices.

Requirements

• aws
• kubernetes
• python
• llms
• langchain
• master’s

What You Bring

-Must be willing to work out of an office located in Niskayuna, NY. -Knowledge of agent orchestration platforms and multi-agent systems (e.g., AutogenAI, LangGraph, MCP protocol). -Experience deploying AI systems on cloud platforms (AWS, Google Cloud) with container orchestration (Docker, Kubernetes). -Minimum 2-3 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. -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 -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. -Awareness of AI ethics, data privacy, and secure handling of sensitive information. -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 -Hands-on experience with LLMs, prompt engineering, and natural language processing (NLP). -Expertise with AI/ML libraries and frameworks such as LangChain, OpenAI APIs, PyTorch, TensorFlow, commercial or open source LLMs. -Must be 18 years or older. -Familiarity with data management, vector databases, semantic retrieval, and real-time data pipelines. -Proficiency in Python and/or languages like JavaScript, TypeScript, Node.js, or Java, Go, with strong coding and software engineering practices. -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.

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About Ge Vernova

-Traces roots back to Edison and Alstom, merging power, renewable, digital & financial wings. -Headquartered in Cambridge, MA, crafts large-scale gas turbines, SMRs, wind turbines, hydro and grid tech to fuel economies. -On the nuclear front, advancing small modular reactors (like BWRX‑300) in partnership with utilities and supporting semiconductor projects. -Wind prowess spans onshore, offshore and blade making—with key sites like Dogger Bank offshore and blade plants in Spain. -Electrification arm tackles grid stability: HVDC, transformers, storage, conversion, plus GridOS software powering smarter infrastructure. -Weaves finance and consulting through energy-infrastructure investments, funding solar farms to pipelines via GE Energy Financial Services.

Sector Specialisms

Visa Sponsorship

-must have legal authorization to work in the u.s. -no visa sponsorship will be provided.

Security Clearance

-employment offer contingent on successful drug screen (if applicable).