AI Developer (EnergyTech)

TL;DR

AI Developer (EnergyTech): Designing and building end-to-end agentic AI features for renewable energy infrastructure with an accent on LangChain/LangGraph orchestration and backend-to-frontend integration. Focus on building reliable LLM pipelines, managing complex context, and surfacing AI-driven insights through interactive React interfaces.

Location: Must be based in Georgia

Company

A centralized platform for managing and monitoring renewable energy infrastructure, leveraging real-time monitoring and machine learning to optimize operational performance.

What you will do

• Design and implement multi-step agentic flows using LangChain and LangGraph.
• Connect AI agents to live data sources, including APIs, databases, and time-series feeds.
• Integrate LLMs into reliable, observable production pipelines.
• Own prompt engineering, context management, and output validation.
• Deploy and monitor AI services on cloud infrastructure like AWS or Azure.
• Build React interfaces to surface AI outputs such as summaries, alerts, and co-pilot features.

Requirements

• Must be based in Georgia
• 6+ years of full-stack development experience.
• Hands-on, production-grade experience with LangChain and LangGraph.
• Strong proficiency in Python for AI/backend and TypeScript/React for frontend.
• Experience integrating LLMs via APIs such as Bedrock or GCP Agent Platform.
• Familiarity with vector stores, RAG pipelines, and structured output parsing.

Nice to have

• Experience in energy, IoT, or industrial data domains.
• Familiarity with LLM observability tools like LangFuse.
• Experience with data pipelines and time-series databases like ClickHouse.

Culture & Benefits

• Opportunity to work in a fast-moving startup environment.
• Ownership of features end-to-end.
• Work on high-impact renewable energy infrastructure solutions.