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 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.
• 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