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Full Stack AI developer

💼 Full-time🗓 2026-06-24

Core

Full Stack Software Engineer building scalable, production-ready AI-powered systems from concept to deployment.

Role type

Senior Full Stack Software Engineer (AI Systems)

Builds

Scalable web applications and AI-driven features for business outcomes

Domain

SaaS / AI Engineering

Deliverable

production ML models | product features

Required skills

React, Next.js, Node.js, NestJS, PostgreSQL, AWS, LLM integration, LangChain, n8n, automation tools, system architecture

Preferred skills

AI workflow design, latency optimization, cost optimization, AI-assisted coding best practices

Technologies

React, Next.js, Node.js, NestJS, PostgreSQL, AWS, Claude, OpenRouter, LangChain, n8n

Responsibilities

Build scalable, production-ready features across the full stack; Design AI workflows using LLMs and automation tools; Optimize AI system latency, cost, and performance; Use AI tools to accelerate development and define best practices; Design flexible, scalable systems balancing speed and maintainability

Seniority

Senior, hands-on IC

Rewrite
## About the role Ayrin Digital is looking for a Full Stack Software Engineer who operates like a product builder—not just a feature implementer. This role is ideal for someone who is comfortable working across frontend, backend, infrastructure, and collaborating on product development, with a strong focus on building AI-powered systems. You will be expected to bring a strong product mindset and take ideas from concept to production-ready solutions. This is a high-ownership role where engineering, product thinking, and AI expertise come together. ## Key Responsibilities - End-to-End Development - Build scalable, production-ready features across the stack - Own delivery from UI → backend → deployment - Product Collaboration - Work closely with Product Owners and SMEs - Contribute to improving usability, performance, and business outcomes - Full Stack Development - Frontend: React, Next.js - Backend: Node.js, NestJS - Database: PostgreSQL - Cloud: AWS - AI-Powered Systems - Build AI-driven features that deliver real value - Design AI workflows using LLMs and automation tools - AI Development & Optimization - Implement AI skills and workflows - Work with tools like Claude, OpenRouter, LangChain, n8n - Optimize latency, cost, and performance - Integrate multiple AI models where needed - AI-Enabled Engineering - Use AI tools to accelerate development - Define best practices for AI-assisted coding - Scalable Architecture - Design flexible, scalable systems - Balance speed with long-term maintainability
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