GE Vernova is seeking to design, develop, and deploy advanced autonomous AI agents leveraging LLMs and advanced AI/ML techniques to solve real-world business challenges autonomously and power the energy transition.
Requirements
- 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.
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.
- 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.
Other
- Collaborate closely with research, engineering, product, and deployment teams to iterate on agent capabilities and innovate continuously.
- Stay current with emerging AI technologies, contribute to platform and tooling improvements, and share knowledge within the team.
- Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, AI Engineering, or related fields.
- 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.
