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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI-Focused Full-Stack Developer - **Company:** REMOTE GROUP - **Location:** United States - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Asana, JIRA, Unit Testing, Cloud Computing, Encodings, Databases, Relational Databases, Database Queries, Django Web Framework, Document Retrieval, Github, Python (Programming Language), PostgreSQL, MySQL, Node.Js, Open Source Technology, Performance Tuning, Next.js, Search Technologies, Software Engineering, TypeScript, Web Applications, Web Engineering, ReactJS, Flask (Web Framework), Large Language Models, Prompt Engineering, Model Validation, Generative AI, Backend, Gitlab, Git, Fastapi, Vue.js, Git Flow, Front End Software Development, Software Version Control, Api Management, Docker - **Published:** September 19, 2026 - **Apply:** https://www.thejobnetwork.com/job/ai-full-stack-developer-509975008 ## About the Role · 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. ## Description 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. ## Related Videos - [A Founder's Journey : From Startup Chaos to Purposeful Growth](https://www.wearedevelopers.com/videos/1926-a-founder-s-journey-from-startup-chaos-to-purposeful-growth) - [Improving quality with Agentic AI with Rovo Dev and Xray](https://www.wearedevelopers.com/videos/2005-improving-quality-with-agentic-ai-with-rovo-dev-and-xray) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Collaboration Quantified: Lessons from Open Source Developer Networks](https://www.wearedevelopers.com/videos/1422-collaboration-quantified-lessons-from-open-source-developer-networks) - [Developer Experience, Platform Engineering and AI powered Apps](https://www.wearedevelopers.com/videos/990-developer-experience-platform-engineering-and-ai-powered-apps) ## Related Articles - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)