AI-Driven Full-Stack Engineer (React + Python, LangChain)

Valiant Technologies LLC; Sunnyvale (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

VALIANT TECHNOLOGIES LLC is seeking a highly skilled Full-Stack Engineer to build and maintain production-grade web applications and to design AI-powered agents using LangChain and LangGraph. The role focuses on delivering scalable, secure APIs and backend services with a strong emphasis on AI integration.

You will work with React on the frontend and Python on the backend, implementing LLM-based tooling, memory, and multi-step reasoning, and crafting RAG-based solutions with embeddings and

Qualifications

• Experience building production-grade web apps with modern frontend (React) and backend (Python) frameworks.
• Hands-on with LangChain for LLM apps and LangGraph for agent orchestration.
• Strong understanding of REST APIs, security, and scalable backend design.
• Knowledge of embeddings and vector databases for RAG-based solutions.

Responsibilities

• Design, develop, and maintain full-stack web applications using React (frontend) and Python (backend).
• Build scalable, secure, production-ready APIs and backend services.
• Implement AI agents and intelligent workflows using LangChain and LangGraph.
• Integrate LLMs into applications with 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, code reviews, and best practices.

Skills

React

Python

LangChain

LangGraph

REST APIs

Full-stack architecture

Embeddings

Vector databases

Git

Tools

Git

Job description

VALIANT TECHNOLOGIES LLC is seeking a highly skilled Full-Stack Engineer to build and maintain production-grade web applications and to design AI-powered agents using LangChain and LangGraph. The role focuses on delivering scalable, secure APIs and backend services with a strong emphasis on AI integration.

You will work with React on the frontend and Python on the backend, implementing LLM-based tooling, memory, and multi-step reasoning, and crafting RAG-based solutions with embeddings and