AI & Full-Stack Developer

Raubex; Skokie, Northern (IL, KY); Hybrid; USD 83,000 - 124,000; Part time

Job summary

Raubex is seeking an AI-focused Full-Stack Developer to architect, build, and deploy intelligent software applications. You will blend traditional web engineering with AI capabilities, including RAG pipelines, AI agentic workflows, and LLM API integrations.

You will collaborate with the team to convert business workflows into fast, scalable, AI-powered web applications, delivering robust back-end APIs and responsive front-end interfaces.

Qualifications

• 4+ years in software engineering, with at least 1.5+ years of hands‑on experience building production applications using AI models and LLMs.
• Hands‑on experience with LangChain, LlamaIndex, or raw LLM API tool calling/function execution.
• Experience with vector stores like Pinecone, Chroma, Supabase pgvector, or Weaviate.
• Strong backend in Python (FastAPI, Django) or TypeScript/Node.js, and frontend in React/Next.js/Vue.js.
• Knowledge of version control and cloud platforms (Git, GitHub/GitLab, Vercel, Docker, AWS, GCP).

Responsibilities

• AI & LLM Integration: Design and implement intelligent features using OpenAI, Anthropic, open-source LLMs, and API integrations.
• RAG & Agentic Workflows: Build Retrieval-Augmented Generation systems, autonomous AI agents, and custom workflow automations.
• Database & Vector Search: Design and query relational databases and vector databases for semantic retrieval and memory stores.
• Full-Stack Application Engineering: Develop responsive front-end interfaces and robust back-end APIs.
• Optimization & Performance: Implement prompt engineering strategies, evaluate model latency, and optimize queries and costs.
• Daily Agile Execution: Participate in daily stand-ups, maintain clean Git workflows, write automated tests, and report progress via Slack and Jira/Asana.

Skills

AI integration

LLM usage

Prompting

Agentic workflows

Full-stack development

Agile methods

Tools

LangChain

LlamaIndex

Pinecone

Chroma

Supabase pgvector

Weaviate

Python FastAPI

Django

TypeScript/Node.js

React.js

Next.js

Vue.js

Git

GitHub/GitLab

Vercel

Docker

AWS

GCP

Job description

Introduction

Shift:U.S. Business Hours

Employment Type:20 Hours/Week

Independent Contractor

Position Overview

We are seeking an experiencedAI-Focused Full-Stack Developerbased 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 likeLangChain,LlamaIndex, orCrewAI.
• 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.