Full Stack AI Developer (React/Next.js + Python + LLM)

SolGenie Technologies, INC
Santa Clara, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Santa Clara, United States of America

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Azure
Software as a Service
DevOps
Github
Design of User Interfaces
JSON
Python
PostgreSQL
Node.js
Performance Tuning
Redis
Next.js
Data Streaming
TypeScript
WebSocket
Google Cloud Platform
React
Large Language Models
Backend
FastAPI
GraphQL
Front End Software Development
Nim (Programming Language)
REST
Automation Anywhere
Docker

Requirements

  • 7+ years of Full Stack Development experience.
  • Strong hands-on experience with React, Next.js, and TypeScript (Mandatory).
  • Experience building production-grade Full Stack applications.
  • Strong backend development experience with Node.js and/or Python (FastAPI preferred).
  • Experience designing and consuming REST APIs and/or GraphQL.
  • Hands-on experience integrating LLM APIs (OpenAI, Claude, Gemini, NVIDIA NIM, etc.).
  • Experience with streaming AI responses using Server-Sent Events (SSE) or WebSockets.
  • Experience implementing AI chat interfaces or conversational applications.
  • Strong understanding of multi-tenant SaaS architecture, Row-Level Security (RLS), and application scalability.
  • Experience building multi-step AI workflows, conversation state management, and tool/function calling.
  • Experience rendering structured JSON outputs in frontend applications.
  • Strong knowledge of responsive UI development, accessibility, and performance optimization.

Technical Skills:

  • Frontend: React, Next.js, TypeScript, Vercel AI SDK
  • Backend: Node.js, Python, FastAPI, REST APIs, GraphQL, SSE
  • AI/ML: LLM Integration, RAG, Nemotron, Structured JSON Generation
  • Cloud: AWS / Azure / Google Cloud Platform
  • Databases: PostgreSQL, pgvector, Redis
  • DevOps: Docker, GitHub Actions

Nice to Have:

  • LlamaIndex
  • LangChain
  • Model Context Protocol (MCP)
  • Vercel AI SDK

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