AI Developer, Renewable Energy Assets

Job Description: 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 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 codeRequirements: 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. Familiarity with LangFuse or other LLM observability tools Experience with MongoDB Atlas, ClickHouse, and time-series data.Benefits: Health insurance Flexible work arrangements Professional development opportunities