EnergyTech Client #1 | AI Developer

About the role

On behalf of EnergyTech Client #1 , SD Solutions is looking for a talented AI Develop er 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:

A centralized platform for managing and monitoring renewable energy infrastructure. The solution consolidates digital asset data in a single environment, leveraging real-time monitoring and machine learning algorithms to optimize operational performance and reduce energy 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.