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NDA, renewable energy assets | AI Developer

Job in Savannah, Chatham County, Georgia, 31441, USA
Listing for: SD Solutions
Full Time position
Listed on 2026-05-31
Job specializations:
  • Software Development
    AI Engineer, Cloud Engineer - Software, Backend Developer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

On behalf of NDA, renewable energy assets, SD Solutions is looking for a talented AI Developer to build high-performance, low-latency web applications.

You will design, build, and ship end-to-end AI features: from Lang Chain/Lang Graph 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 Lang Chain, Lang Graph, 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 Type Script code
Requirements
  • 6+ years of full-stack development experience
  • Hands‑on, production‑grade experience with Lang Chain and Lang Graph or similar agentic orchestration in production, not just tutorials
  • Strong Python for AI/backend work and Type Script/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 Lang Fuse or other LLM observability tools
  • Experience with Mongo

    DB Atlas, Click House, and time-series data
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