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E

AI & Full-Stack Developer

Exclusively Remote Gibor Group
1 day ago
Full-time
Remote
United States
Engineering

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, with at least 1.5+ years of hands-on experience building production applications using AI models and LLMs.

· AI & Machine Learning Ecosystem:

o Frameworks: Hands-on experience with LangChain, LlamaIndex, or raw LLM API tool calling/function execution.

o Vector Stores: Experience working with Pinecone, Chroma, Supabase (pgvector), or Weaviate.

o Prompting & Fine-Tuning: Deep understanding of prompt engineering, function calling, agentic loops, and model evaluation.

· Core Tech Stack:

o Back-End: Strong proficiency in Python (FastAPI, Django) or TypeScript/Node.js.

o Front-End: React.js, Next.js, or Vue.js.

o Version Control & Cloud: Git, GitHub/GitLab, Vercel, Docker, AWS, or GCP.