Full-Stack AI Engineer: Build AI-Powered Interfaces

8000 Accenture Inc Company; Cebu City; On-site; PHP 900,000 - 1,500,000; Full time

Job summary

Accenture is seeking a Full Stack Engineer to design and build AI-powered applications, from user-facing interfaces to backend services and API integrations. The role involves creating conversational interfaces, admin dashboards, and AI model orchestration within enterprise systems.

You'll work with JavaScript frameworks, Python/Node.js backends, and cloud platforms (AWS/GCP/Azure) while emphasizing performance, testing, and secure data handling.

Qualifications

• Minimum 3 years of hands-on experience.
• Experience with AI-powered solutions and APIs.
• Cloud platforms knowledge (AWS, GCP, Azure).

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.

Skills

UI Engineering

Frontend Tech

Backend Engineering

API Integration

Cloud Serverless

Tools

Python

Node.js

Java

REST/GraphQL

WebSocket

LangGraph

LangChain

AutoGen

AWS

GCP

Azure

Job description

Accenture is seeking a Full Stack Engineer to design and build AI-powered applications, from user-facing interfaces to backend services and API integrations. The role involves creating conversational interfaces, admin dashboards, and AI model orchestration within enterprise systems.

You'll work with JavaScript frameworks, Python/Node.js backends, and cloud platforms (AWS/GCP/Azure) while emphasizing performance, testing, and secure data handling.