Senior Applied Scientist, New Initiatives
Core
Design and deploy agentic AI systems that autonomously analyze data, plan solutions, and execute recommendations for energy optimization and smart home applications.
Role type
Senior Applied Scientist (Agentic AI & Energy)
Builds
Multi-agent architectures, tool-augmented LLM applications, and multimodal AI systems for energy domain.
Domain
Energy Science / Smart Home / Climate Tech
Deliverable
production ML models
Required skills
agentic AI design, deep learning, time series analysis, LLMs, multimodal systems, RAG architectures, multi-agent orchestration, tool-augmented LLMs, API integration, statistical validation
Preferred skills
EnergyPlus simulator, IoT systems, real-time data processing, edge computing, load forecasting, consumption analysis, smart home optimization, patent/publication track record
Technologies
Java, C++, Python, neural deep learning frameworks, LLM frameworks, RAG pipelines
Responsibilities
Design and deploy autonomous AI agents for data analysis and solution planning; build multi-agent architectures for complex optimization; develop tool-augmented LLM applications integrating external data; create multimodal AI systems synthesizing diverse data streams; implement RAG pipelines grounding LLMs in domain knowledge; apply advanced ML/DL techniques for forecasting and pattern recognition; drive end-to-end product development from research to production.
Seniority
Senior, hands-on IC