AI Agent Engineer
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Job Location:
Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Job Description 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 businesss 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 Vernovas 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.
Job Description
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 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
- Masters 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 to be considered.
Additional Information
Relocation Assistance Provided: Yes
Required Experience:
Unclear Seniority
Key Skills
- Computer Science
- Continuous Integration
- Fraud
- Intake Experience
- Law Enforcement
- Usability
- Analysis Skills
- Computer Forensics
- Driving
- Teaching
- Counterintelligence
- Sass
About Company
GE Vernova's Asset Performance Management software can help you increase asset reliability, minimize costs and reduce operational risks. View a demo today.
