NDA, renewable energy assets | Senior Full Stack Engineer

 Posted 15 days ago
     
⭐ 5-10 years experience
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AI Summary

Design and implement end-to-end AI features, focusing on multi-step agentic flows and backend orchestration. Build React interfaces to surface AI outputs such as summaries, alerts, and interactive co-pilot features.

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

SD Solutions is a staffing company operating globally. Contact us to get more details about the benefits we offer.

You will design, build, and ship end-to-end AI features: from LangChain/LangGraph 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 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

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 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
    • Experience with data pipelines such as Lambda/Medallion with data integrity validations
    • Familiarity with LangFuse or other LLM observability tools
    • Experience with MongoDB Atlas, ClickHouse, and time-series data

    About the company:

    NDA, renewable energy assets, is your centralized view into the status and needs of your renewable energy assets. Collect, store, and learn from your digital assets in a single, centralized place, using the latest real-time monitoring and machine learning algorithms, to optimize your performance and reduce consumption, at scale.

    By applying for this position, you agree to the terms outlined in our Privacy Policy. Please take a moment to review our Privacy Policy https://sd-solutions.breezy.hr/privacy-notice, and make sure you understand its contents. If you have any questions or concerns regarding our Privacy Policy, please feel free to contact us.

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