Senior AI Agent Engineer

Job Description Summary

We are seeking a highly motivated and talented Sr AI Agent Engineer to join our dynamic team. The successful candidate will be responsible for creating and optimizing prompts for LLMs, collaborating with domain experts and end users to develop software solutions that address both internal and external needs. This position offers a great opportunity to work at the intersection of advanced technology and traditional industry.

Roles and 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
• Monitor AI Agent performance, conduct rigorous evaluations, implement safety guardrails, and ensure ethical AI practices
• 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

Core Technical Skills

• 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., AutoGen, 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)

Qualifications

• 5+ years of relevant experience and a Master's or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or related fields
• 3+ years of experience in AI, GenAI application development & deployment particularly with autonomous agent systems
• 3+ years of experience designing and building GenAI apps supporting agent orchestration, multi-step reasoning, prompt engineering, RAG integration, and model selection

Eligibility

• Legal authorization to work in the U.S. is required. GE Vernova will not sponsor individuals at the Bachelor's level for employment visas
• Must be willing to work out of an office located in Niskayuna, NY or Cambridge, MA
• Cambridge-based resources are required to complete a three-month hybrid onboarding residency at the GE Vernova Advanced Research Center in Niskayuna, NY

Pay range: $113,200 - $188,800. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. Bonus eligibility: discretionary annual bonus. Relocation assistance provided. Posting open until May 1, 2026.