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
- 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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Skills Required
- 6+ years of full-stack development experience
- Production-grade hands-on experience with LangChain and LangGraph (agentic orchestration)
- Strong Python for AI/backend work
- Strong TypeScript and React for frontend
- Experience integrating LLMs via API (Bedrock, GCP Agent Platform, or similar)
- Familiarity with vector stores, RAG pipelines, and structured output parsing
- Experience working in large-scale and big data environments
- Deploy and monitor AI services on AWS or Azure
- Instrument flows with logging and tracing for observability and debugging
- Own prompt engineering, context management, and output validation
- Build tools, agents, and chains that connect to live data sources (APIs, databases, time-series feeds)
- Comfort working in a fast-moving startup environment and owning features end-to-end
- Connect frontend components to streaming AI responses (real-time streaming UI)
- Experience in energy, IoT, or industrial data domains
- Experience with data pipelines (Lambda/Medallion) and data integrity validations
- Familiarity with LangFuse or other LLM observability tools
- Experience with MongoDB Atlas, ClickHouse, and time-series data
