Fullstack AI Engineer

Accenture; England; On-site; GBP 50,000 - 70,000; Full time

Job summary

A leading consulting firm in the United Kingdom is looking for a Full Stack Engineer to develop and integrate applications focused on AI technologies. This position involves creating user interfaces and backend systems while leveraging various technologies like JavaScript and Python. The ideal candidate has a minimum of 2 years of experience and is skilled in responsive design and API integrations. You will be instrumental in developing scalable AI-powered solutions and enhancing user interactions through conversational interfaces.

Qualifications

• Minimum 2 years of experience in Full Stack Engineering.
• Experience with multi-turn conversations and chat interfaces.
• Strong understanding of responsive UI development.

Responsibilities

• Design and develop intuitive web and mobile interfaces.
• Build scalable backend services and APIs.
• Integrate AI agents and models into enterprise systems.
• Implement response caching and error handling.
• Ensure production-quality development through automated testing.

Skills

UI Engineering

User-centric design

JavaScript

React

Next.js

Python

Node.js

REST APIs

GraphQL APIs

AWS

Job description

Develop and integrate applications with Large Language Models (LLMs) and other enterprise services. Leverage front‑end and server‑side technologies to develop APIs, implement DevOps practices, and optimize Artificial Intelligence (AI) applications. We are seeking a Full Stack Engineer to build and integrate user‑facing applications and backend systems that support cutting‑edge AI‑powered solutions. You will play a pivotal role in creating conversational interfaces, admin portals, and integrating APIs for seamless AI model orchestration and interaction.

Key Responsibilities

• Design and develop intuitive, responsive web and mobile interfaces for conversational AI interactions and admin dashboards.
• Build scalable backend services and APIs to host, manage, and monitor AI model workflows.
• Integrate AI agents and models into enterprise systems and user interfaces, enabling multi‑turn dialogues and dynamic workflows.
• Implement response caching, retry logic, token streaming, and escalation mechanisms for stable and responsive AI experiences.
• Enable agent transparency through structured output parsing, logs, interaction history, and feedback workflows.
• Ensure production‑quality development through automated testing, error handling, and responsive design principles.

Key Skills and Experience

UI Engineering

• Experience with chat interfaces, form‑based flows, and multi‑turn conversations.
• Strong understanding of user‑centric design and responsive UI development.

Frontend Technologies

• Hands‑on with JavaScript, React, Next.js, Vue, and Angular.

Backend Engineering & API Integration

• Skilled in Python, Node.js, Java, REST/GraphQL APIs, and WebSocket‑based systems.
• Familiarity with LangGraph, LangChain Agents, AutoGen, and similar orchestration frameworks.
• Experience with response caching, retry/back‑off, token streaming, and secure data handling.
• Experience working with any one cloud platform and serverless technologies.
• Experience in database (SQL & NoSQL) usage.
• Strong debugging, performance tuning, and testing practices.

Enterprise Integration

• Experience working with systems like SAP, Salesforce, or other enterprise platforms.
• Exposure to API gateway patterns and integration into AI pipelines.
• Knowledge of CI/CD pipelines and cloud platforms (AWS, GCP, Azure).

Minimum 2 years of experience is required.