EnergyTech Client #1 | AI Developer

Job description

On behalf of EnergyTech Client #1 , SD Solutions is looking for a talented AI Develop er 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. By applying for this position, you agree to the terms outlined in our Privacy Policy. Please take a moment to review our Privacy Policy , and make sure you understand its contents. If you have any questions or concerns regarding our Privacy Policy, please feel free to contact us.