AI & Full-Stack Developer

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

Job summary

Exclusively Remote is seeking an experienced AI-focused Full-Stack Developer to architect, build, and deploy AI-powered web applications. You will integrate LLMs, design RAG pipelines, and deploy agentic workflows across front-end and back-end stacks.

Responsibilities include AI feature design, database and vector store management, and performance optimization. This contractor role offers flexible hours and a remote setup aligned with U.S. business hours.

Qualifications

• 4+ years in software engineering with hands-on AI/LLM production apps.
• Experience with LangChain, LlamaIndex, or raw LLM API tool calling.
• Strong back-end (Python FastAPI/Django) and front-end (React/Next.js) skills.

Responsibilities

• Design and implement AI features with OpenAI, Claude, and other LLMs.
• Build RAG systems and autonomous AI agents with modern workflows.
• Manage relations databases and vector stores for semantic search.
• Develop responsive front-ends and robust back-end APIs.
• Evaluate prompt strategies, latency, and cost; optimize queries.

Skills

AI/LLM development

Full-stack development

Python

TypeScript/Node.js

React/Next.js

Database design

Tools

LangChain

LlamaIndex

Pinecone

Chroma

Supabase pgvector

Weaviate

FastAPI

Django

React

Next.js

Node.js

Docker

Job description

Location: Remote, within South Africa 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.

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.

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:
  • 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 in Python (FastAPI, Django) or TypeScript/Node.js.
  • Front-End: React.js, Next.js, or Vue.js.
  • Version Control & Cloud: Git, GitHub/GitLab, Vercel, Docker, AWS, or GCP.