Full-Stack Engineer: AI Agents with LangChain & LangGraph

Quantum Technologies. LLC; Sunnyvale, Northern (CA, KY); Hybrid; USD 120,000 - 160,000; Full time

Job summary

Quantum Technologies LLC seeks a highly skilled Full-Stack Engineer to build production-grade web applications and AI-powered agents using LangChain and LangGraph. You will design, develop, and maintain React-based frontends with Python backends, and implement scalable APIs and intelligent workflows.

The role emphasizes integrating LLMs, memory, tool-calling, and multi-step reasoning, along with RAG-based solutions and secure production practices.

Qualifications

• Proven experience with React (hooks, components, state) and Python (FastAPI/Flask/Django).
• Solid understanding of full-stack architecture, REST APIs, and backend development.
• Hands-on experience with LangChain for LLM app development.
• Hands-on experience with LangGraph for building/orchestrating AI agents.

Responsibilities

• Design, develop, and maintain full-stack web applications using React frontend and Python backend.
• Build scalable, secure, production-ready APIs and services.
• Implement AI agents and intelligent workflows using LangChain and LangGraph.
• Integrate LLMs into applications including tool-calling, memory, and multi-step reasoning.
• Design and implement RAG-based solutions using embeddings and vector databases.
• Orchestrate agent state, control flow, and execution using LangGraph.
• Ensure code quality through testing, reviews, and best practices.

Skills

React

Python

Full-stack architecture

REST APIs

LangChain

LangGraph

Git

LLMs integration

RAG embeddings

Tools

FastAPI/Flask/Django

Job description

Quantum Technologies LLC seeks a highly skilled Full-Stack Engineer to build production-grade web applications and AI-powered agents using LangChain and LangGraph. You will design, develop, and maintain React-based frontends with Python backends, and implement scalable APIs and intelligent workflows.

The role emphasizes integrating LLMs, memory, tool-calling, and multi-step reasoning, along with RAG-based solutions and secure production practices.