AI & Full-Stack Developer
Exclusively Remote Gibor Group
Posted 17 September 2026
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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.