NDA is hiring an AI Developer

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. By applying for this position, you agree to the terms outlined in our