Staff Engineer - AI Engineering
GE Vernova (company site, opens in a new tab)5+ yrsBengaluruOn-siteDirect career pageEst. 35–60 LPA
Posted on 15 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and optimize autonomous AI agents leveraging LLMs, reinforcement learning, and planning algorithms to solve complex business challenges.
- Develop scalable multi-agent AI architectures with long horizon reasoning, autonomy, and complex task completion, integrating with APIs and enterprise systems.
- Monitor and enhance AI agent performance, ensure reliability and ethical AI practices, and maintain comprehensive technical documentation.
Minimum Requirements
- Master's or PhD in Computer Science, AI/ML, Engineering, Mathematics, or related field.
- 5+ years of relevant experience with minimum 3 years specifically in AI, GenAI application development and deployment focusing on autonomous agent systems or related AI software engineering roles.
- Proficiency in Python and AI/ML frameworks like LangChain, OpenAI APIs, PyTorch, TensorFlow; experience with LLMs, prompt engineering, and multi-agent systems.
- Experience deploying AI systems on cloud platforms (AWS, Google Cloud) with container orchestration (Docker, Kubernetes).
Ideal Candidate Profile
- Experienced in designing and building GenAI applications involving agent orchestration, multi-step reasoning, prompt engineering, retrieval augmented generation (RAG) integration, and model selection.
- Able to operate independently in fast-paced, experimental environments with strong software engineering and system architecture skills.
- Strong technical expertise in machine learning model lifecycle management, data generation, training, validation, and integrating state-of-the-art AI research into production systems.