EnergyTech Client 1 | AI Developer

EnergyTech Client #1 | AI Developer at SD Solutions

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SD Solutions

EnergyTech Client #1 | AI Developer

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• Development
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• EnergyTech Client #1 | AI Developer
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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

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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