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AI & Full-Stack Developer

Exclusively Remote•United States•🌍 Remote
Contract3-7
👁️ 0 views•📝 0 applications•Posted 9/19/2026•Expires 11/18/2026
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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: o Frameworks: Hands-on experience with Lang

Required Skills

AILLMOpenAIGPT-4oAnthropicClaudeLangChainLlamaIndexCrewAIPostgreSQLMySQLPineconeQdrantSupabase pgvectorReactNext.jsVuePythonFastAPIFlaskAgileGitSlackJiraAsana

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