Role overview

Qualifications

6+ years of full-stack development experience
Hands-on, production-grade experience with LangChain and LangGraph
Strong Python for AI/backend work and TypeScript/React for frontend
Experience integrating LLMs via API

Responsibilities

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
Deploy and monitor AI services on AWS or Azure

Key facts

Remote from: Georgia (USA)
Full time
Senior (5-10 years)
English

Hard skills

Python (Programming Language) TypeScript Back End (Software Engineering) Front End (Software Engineering) Internet Of Things (IoT) Industrial Statistics MongoDB

Other skills

Energetic
Problem Solving
Teamwork
Time Management

About the company

SD Solutions

Staffing & Recruiting

SD Solutions is a Scaling Partner focused on end-to-end staffing services and consulting, providing tech companies with strategic solutions for global growth needs. The company offers a transparent business model, where the Scaling Partner covers all back-office operations: payroll, legal entity, IT infrastructure, HR management and talent acquisition. It allows businesses to scale staff in the most efficient way - time and cost-wise. There 40+ customers from the USA, Canada, UK and Israel who chose SD Solutions to: -Build integrated branches and R&D centres in Europe and Latin America. -Outsource business processes (Data Unit, Customer Support Studio, QA, DevOp/MLOps, SDR and Marketing Centers) -Hire a contractor abroad (EoR) -Grow fast with a Start-up scaling program SD Solutions offers custom solutions to tech companies pushing forward the industry: fintech, cloud services, health tech, eCommerce, cybersecurity, etc.

Company details

Company typeScaleup

IndustryStaffing & Recruiting

Company size201 - 500

Links

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Job description

On behalf of EnergyTech Client #1, 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:

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.

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