AI Agent Engineer

**Summary****

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.

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.