AI-Focused Full-Stack Developer

REMOTE GROUP

United States

6 days ago

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Role details

Contract type

Permanent contract

Employment type

Part-time (≤ 32 hours)

Working hours

Regular working hours

Job source

www.thejobnetwork.com

Tech stack

Application Programming Interfaces (APIs) Agile Methodology Artificial Intelligence Amazon Web Services Asana JIRA Unit Testing Cloud Computing Encodings Databases Relational Databases Database Queries

+31 more

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

Job 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.

Requirements

· 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.