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Onsite or remote • London+1💼 Full-time🗓 2026-06-25

Core

Build end-to-end AI-powered applications by developing backend AI services and frontend AI interfaces.

Role type

Full-stack AI engineer

Builds

AI-powered applications with backend APIs and frontend UI

Domain

Artificial Intelligence / Web Development

Deliverable

production ML models | product features

Required skills

Node.js, Python, React, Next.js, TypeScript, LLM API integration, Prompt engineering, Vector databases, RESTful API design, Database design, Cloud deployment (AWS/GCP/Azure/Vercel)

Preferred skills

Zustand, Redux, Context, FastAPI, Flask, Express, NestJS

Responsibilities

Build end-to-end AI features (backend APIs + frontend UI), Integrate LLMs into applications, Implement streaming responses, Design feedback loops for model improvement, Create AI-native user experiences with proper loading states and error handling, Collaborate with product managers on AI feature definition

Rewrite
## About the Role We are looking for full-stack engineers with strong fundamentals who want to build AI-powered applications. You will build both backend AI services and frontend AI interfaces. ## Key Responsibilities - Build end-to-end AI features (backend APIs + frontend UI) - Integrate LLMs into Node.js/React applications - Implement streaming responses - Design feedback loops for model improvement - Create AI-native user experiences with proper loading states, error handling, and trust signals - Collaborate with product managers on AI feature definition ## Must-Have Requirements ### Experience - 5+ years full-stack development - 3+ years backend (Node.js OR Python) - 3+ years frontend (React, Next.js preferred) - 1+ year integrating LLM APIs ### Engineering Fundamentals - Strong problem-solving skills – ability to decompose features and implement clean, maintainable solutions - Solid understanding of algorithms and data structures – can analyze complexity and choose appropriate structures for given problems - Experience designing RESTful APIs with consideration for performance, security, and scalability - Understanding of database design principles – indexing, query optimization, data modelling. ### Backend Skills - Node.js with Express/NestJS - OR - Python with FastAPI/Flask ### Frontend Skills - React with Next.js - TypeScript - Responsive design - State management (Zustand, Redux, or Context) ### AI Experience - LLM API integration - Prompt engineering for production - Basic vector database understanding ### Cloud - AWS, GCP, Azure, or Vercel deployment experience
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