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Staff Engineer - AI Engineering
GE Vernova
Bengaluru, IND
Full-time
Senior · 5+ years experience
Onsite
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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, Node.js, 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/ PhD degree in Computer Science, AI/ML, Engineering, Mathematics, or related field with 5+ years of relevant experience.
- Minimum 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
Relocation Assistance Provided
- Yes
About GE Vernova
Electric Power & Utilities80000 employeesFounded 2024
Global energy company providing power generation, electrification, and decarbonization solutions.
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