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AI Developer, Renewable Energy Assets

AI EngineerMachine Learning EngineerFull TimeRemoteSeniorTeam 201-500H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

10 days ago

Salary

0

Seniority

Senior

Job Description

AI Developer, Renewable Energy Assets

SD Solutions

• 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

Job 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

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