AI & Full-Stack Developer

Exclusively Remote Gibor Group; United States; Remote; USD 83,000 - 124,000; Part time

Job summary

Exclusively Remote Gibor Group seeks an experienced AI-focused Full-Stack Developer to architect, build, and deploy intelligent software applications. You will combine traditional web engineering with AI capabilities, building RAG pipelines, AI agentic workflows, and integrating LLM APIs.

You will collaborate directly with our team to turn business workflows into fast, scalable AI-powered web applications across remote environments.

Qualifications

• 4+ years in software engineering with hands-on AI/LLM experience.
• Hands-on experience with LangChain, LlamaIndex, or raw LLM API tool calling.
• Experience with vector stores (Pinecone, Chroma, Supabase pgvector, Weaviate) and databases.

Responsibilities

• Design and implement AI features using OpenAI, Claude, or open-source LLMs.
• Build Retrieval-Augmented Generation (RAG) systems and autonomous AI agents.
• Design, manage, and query relational databases and vector stores for semantic retrieval.
• Develop responsive front-end interfaces and robust back-end APIs.
• Optimize prompts, model latency, and API costs.
• Participate in daily stand-ups, maintain Git workflows, write tests, and report progress via Slack/Jira/Asana.

Skills

AI & LLM Integration

RAG & Agentic Workflows

Database & Vector Search

Full-Stack Engineering

Optimization & Performance

Agile Practices

Python

TypeScript/Node.js

React/Next.js/Vue

Git & CI/CD

Tools

LangChain

LlamaIndex

CrewAI

PostgreSQL

MySQL

Pinecone

Qdrant

Supabase pgvector

Weaviate

React

Next.js

Vue.js

FastAPI

Django

Python

TypeScript

Node.js

Git

Docker

AWS

GCP

Job description

Introduction

Shift: U.S. Business Hours

Employment Type: 20 Hours/Week

Independent Contractor

Position Overview

We are seeking an experienced AI-Focused Full-Stack Developer based to architect, build, and deploy intelligent software applications. In this role, you will combine traditional full-stack web engineering with modern AI capabilities—building custom RAG pipelines, deploying AI agentic workflows, connecting LLM APIs, and embedding AI-driven automation into operational platforms.

You will collaborate directly with our team to turn business workflows into fast, scalable, AI-powered web applications.

Duties & Responsibilities

Key Responsibilities

• AI & LLM Integration: Design and implement intelligent features using OpenAI (GPT-4o), Anthropic (Claude), open-source LLMs, and API integrations.
• RAG & Agentic Workflows: Build Retrieval-Augmented Generation (RAG) systems, autonomous AI agents, and custom workflow automations using frameworks like LangChain,LlamaIndex, or CrewAI.
• Database & Vector Search: Design, manage, and query relational databases (PostgreSQL, MySQL) and vector databases (Pinecone, Qdrant, Supabase pgvector) for semantic document retrieval and memory stores.
• Full-Stack Application Engineering: Develop responsive front-end interfaces (React, Next.js, or Vue) and robust back-end APIs (Python FastAPI/Flask, Node.js, or TypeScript).
• Optimization & Performance: Implement effective prompt engineering strategies, evaluate model latency and API costs, and optimize database queries for high reliability.
• Daily Agile Execution: Participate in daily stand-ups, maintain clean Git workflows, write automated unit tests, and provide regular progress updates via Slack and Jira/Asana.

Desired Experience & Qualification

Required Technical Skills & Experience

• Professional Experience:4+ years in software engineering, withat least 1.5+ years of hands-on experience building production applications using AI models and LLMs.
• AI & Machine Learning Ecosystem:
  • Frameworks:Hands-on experience with LangChain, LlamaIndex, or raw LLM API tool calling/function execution.
  • Vector Stores:Experience working with Pinecone, Chroma, Supabase (pgvector), or Weaviate.
  • Prompting & Fine-Tuning:Deep understanding of prompt engineering, function calling, agentic loops, and model evaluation.
• Core Tech Stack:
  • Back-End:Strong proficiency inPython(FastAPI, Django) orTypeScript/Node.js.
  • Front-End:React.js, Next.js, or Vue.js.
  • Version Control & Cloud:Git, GitHub/GitLab, Vercel, Docker, AWS, or GCP.