Lead Engineer - AI Engineering
GE Vernova (company site, opens in a new tab)3+ yrsBengaluruOn-siteDirect career pageEst. 20–40 LPA
Posted on 1 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, implement, and optimize scalable AI Agents using LLMs, multi-agent architectures, and reinforcement learning to enable long-horizon reasoning and complex task completion.
- Integrate AI Agents with enterprise systems, APIs, databases, and maintain their deployment and reliability in production environments.
- Continuously improve AI Agent performance using feedback loops, ethical AI practices, and collaborate across research, engineering, and product teams to innovate and document technical solutions.
Minimum Requirements
- Master's degree in Computer Science, AI/ML, Engineering, Mathematics or related field.
- At least 3+ years of relevant experience developing and deploying AI/GenAI applications with autonomous agent systems or similar AI software engineering roles.
- Proficiency in Python and/or JavaScript, TypeScript, Node.js, Java, or Go and experience with AI/ML frameworks such as LangChain, OpenAI APIs, PyTorch, TensorFlow.
- Must be willing to work out of the office located in Bangalore.
Ideal Candidate Profile
- Experienced in designing and deploying GenAI applications incorporating agent orchestration, multi-step reasoning, prompt engineering, and retrieval-augmented generation (RAG).
- Strong foundation in AI/ML lifecycle management including model training, fine-tuning, validation, and system architecture for large-scale AI solutions.
- Comfortable working independently in fast-paced, experimental environments and collaborating with cross-functional teams on cutting-edge AI technology development.