NDA, renewable energy assets | AI Developer
Job in
Austell, Cobb County, Georgia, 30001, USA
Listed on 2026-05-24
Listing for:
SD Solutions
Full Time
position Listed on 2026-05-24
Job specializations:
-
Software Development
AI Engineer, Cloud Engineer - Software, Backend Developer, Machine Learning/ ML Engineer
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
- 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
- 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
- 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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