Position Details

Type Full-Time

Experience senior

Exp. Years 3+ years

Education PhD, or Master's and 6+ years of applied research

Category AI & Machine Learning

About this role

Senior Applied Scientist focusing on agentic AI and multimodal systems to enable autonomous decision-making and tool-augmented LLMs for energy/climate applications.

Key Responsibilities

Design and deploy agentic AI systems
Build multi-agent architectures
Develop tool-augmented LLM apps with external APIs
Ground LLMs in domain knowledge bases
End-to-end product development with experimentation framework

Technical Overview

Develops multi-agent AI systems, RAG pipelines, time-series analysis, and generative AI artifacts; emphasizes external APIs, domain knowledge grounding, and end-to-end product development with monitoring.

Ideal Candidate

Senior applied scientist with 3+ years ML model experience (or PhD + 6+ years), strong in neural networks, LLMs, and generative AI. Experience with energy domain applications and IoT/edge computing is a plus; candidate should be able to design multimodal AI solutions in a production context.

Must-Have Skills

3+ years building machine learning models for business applicationPhDor Master's plus 6+ years of applied researchProgramming in JavaC++PythonExperience with neural deep learning methodsExperience with LLMs and generative AI applications

Nice-to-Have Skills

Experience with EnergyPlus or other building energy simulation toolsKnowledge of IoT systems and edge computingExperience in energy domain applications (load forecastingetc.)Patentsopen-source contributionsor publications

Tools & Platforms

EnergyPlusIoT platformsPythonJavaC++

Required Skills

3+ years building ML models; PhD or Master's + 6+ years applied research; JavaC++Python; neural DL methods; large language models; generative AI

Hard Skills

PythonJavaC++Neural networksTime series analysisLLMsGenerative AIAPIsEnergyPlusIoT

Soft Skills

communicationproblem-solvingteam collaborationmentoringacademic rigor

Industry & Role

Industry Technology

Job Function Architect and deploy agentic AI systems for energy/climate applications

Role Subtype ML Engineer

Tech Domains Python, Java, C++, Neural networks, Time Series Analysis, LLMs, Generative AI, APIs, EnergyPlus, IoT

Keywords for Your Resume

Senior Applied ScientistAgentic AImulti-agenttool-augmented LLMRAGtime seriesmultimodalLLMsgenerative AIexternal APIsdata sourcesEnergyPlusIoTedge computingload forecastingsmart home optimizationpatentspublicationspythonjavac++agentic aillmsgenerative airag pipelinesenergy domainenergyplusiot

Deal Breakers

PhD or Master's with 6+ years of applied research, 3+ years building ML models for business applications, Proficiency in Java, C++, Python, Experience with LLMs and generative AI

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