Ai Agent Engineer

Summary GE Vernova is embracing cutting-edge technologies to streamline operations improve customer experiences and drive growth As part of this vision we are building a dedicated team to leverage Generative AI and redefine how we engage with our industry The ultimate goal of the team is to automate prompting develop a framework for prompting across use cases to maximize reuse as well as sharing across businesses We are seeking a highly motivated and talented Prompt 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 making a tangible impact on our business processes As a GE Vernova accelerator GE Vernova Advanced Research is driving strategy and leading research development efforts to execute on the business s mission to help power the energy transition We forge the collaborations and help invent the technologies required to electrify and decarbonize for a zero-carbon future Representing virtually every major scientific and engineering discipline our researchers are collaborating with GE Vernova s businesses the U S government and more than 420 entities at the forefront of technology to execute on 150 energy-focused projects Collectively these research programs and initiatives aim to solve near term technical challenges deliver next generation product advances and drive long term breakthrough innovation to enable more affordable reliable sustainable and secure energy Key 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 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 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 Qualifications 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 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 Must be willing to work out of an office located in Bangalore Must be 18 years or older You must submit your application for employment on the careers page at www careers gevernova com to be considered Additional Information Relocation Assistance Provided Yes