About the Position

On behalf of EnergyTech Client #1, SD Solutions is looking for a talented AI Developer to build high-performance, low-latency web applications.

SD Solutions is a staffing company operating globally. Contact us to get more details about the benefits we offer.

You will design, build, and ship end-to-end AI features: from LangChain/LangGraph orchestration logic on the backend to the interfaces that expose those capabilities to our users.

Responsibilities

Backend / AI-based features - must have:

Design, implement, and own multi-step agentic flows using LangChain, LangGraph, and similar.
Build tools, agents, and chains that connect to live data sources (APIs, databases, time-series feeds)
Integrate LLMs (Claude, GPT, Gemini, etc.) into reliable, observable pipelines
Own prompt engineering, context management, and output validation
Experience working in large-scale and big data environments
Deploy and monitor AI services on AWS or Azure
Instrument flows with logging and tracing so we can debug and improve them

Frontend - big advantage:

Build React interfaces that surface AI outputs: summaries, alerts, recommendations, and interactive co-pilot features
Connect frontend components to streaming AI responses
Write clean, maintainable TypeScript code

Requirements

6+ years of full-stack development experience
Hands-on, production-grade experience with LangChain and LangGraph or similar agentic orchestration in production, not just tutorials
Strong Python for AI/backend work and TypeScript/React for frontend
Experience integrating LLMs via API (Bedrock, GCP Agent Platform, or similar)
Familiarity with vector stores, RAG pipelines, and structured output parsing
Comfort working in a fast-moving startup environment where you own your features end-to-end

Nice to Have

Experience in energy, IoT, or industrial data domains
Experience with data pipelines such as Lambda/Medallion with data integrity validations
Familiarity with LangFuse or other LLM observability tools
Experience with MongoDB Atlas, ClickHouse, and time-series data

We Offer

Remote work options within Georgia

About the Company

A centralized platform for managing and monitoring renewable energy infrastructure. The solution consolidates digital asset data in a single environment, leveraging real-time monitoring and machine learning algorithms to optimize operational performance and reduce energy consumption at scale.

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AI Developer

Job description