AI & Full-Stack Developer

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.

#J-18808-Ljbffr