
Lead Engineer - AI Engineering
GE VernovaResponsibilities
- Design, implement, and optimize AI agents using LLMs, reinforcement learning, planning algorithms, and decision-making frameworks.
- Develop scalable multi-agent architectures supporting 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 for production reliability and performance.
- Optimize agent behavior through feedback, reinforcement learning, and user interaction.
- Collaborate with research, engineering, product, and deployment teams to improve agent capabilities.
- Monitor agent performance, conduct evaluations, implement safety guardrails, and support ethical AI practices.
- Document agent architectures, design decisions, workflows, and technical processes.
- Contribute to AI platform and tooling improvements and share technical knowledge.
Requirements
- Master’s degree in Computer Science, AI/ML, Engineering, Mathematics, or a related field.
- At least 3 years of relevant experience.
- Thorough experience in AI, GenAI application development and deployment, autonomous agent systems, or related AI software engineering.
- Hands-on experience building GenAI applications with 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, model training, and validation.
- Strong software engineering and system architecture fundamentals.
- Proficiency in Python and/or JavaScript, TypeScript, Node.js, Java, or Go.
- Experience with AI/ML frameworks and libraries such as LangChain, OpenAI APIs, PyTorch, or TensorFlow.
- Knowledge of agent orchestration and multi-agent systems, such as AutogenAI, LangGraph, or MCP protocol.
- Familiarity with data management, vector databases, semantic retrieval, and real-time data pipelines.
- Experience deploying AI systems on AWS or Google Cloud with Docker and Kubernetes.
- Awareness of AI ethics, data privacy, and secure handling of sensitive information.
- Must be willing to work from the Bangalore office and be at least 18 years old.
Benefits
- Relocation assistance is provided.
- The role is office-based in Bangalore.
Tech Stack
Categories
About GE Vernova
GE Vernova is a purpose-built energy technology company on a mission to electrify to thrive and decarbonize the world. It is made up of three businesses -- Power, Electrification, and Wind -- with focus on accelerating the path to more reliable, affordable, and sustainable energy, while helping our customers power economies and deliver the electricity that is vital to health, safety, security, and improved quality of life. The world needs more energy, smarter energy. With energy demand expected to grow by more than 50% in the next 20 years, we are continuously innovating to meet the moment…like we have for the past 130 years. The Energy of Change and relentless optimism are what drive us – it’s about never giving up and seeing what’s possible so that we deliver the energy technologies the world needs right now and for generations to come. GE Vernova’s attitude and edge is embedded in its name. We retain our treasured legacy, “GE,” as an enduring and hard-earned badge of quality and ingenuity. “Ver” / “verde” signal Earth’s verdant and lush ecosystems. “Nova,” from the Latin “novus,” nods to a new, innovative era of lower carbon energy that GE Vernova will help deliver. Together, we have the energy to change the world.