Fullstack AI Engineer GEN AI - Cebu

Accenture in the Philippines

Cebu City

On-site

PHP 900,000 - 1,500,000

Full time

22 hours ago
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Job summary

Accenture in the Philippines is seeking a Full Stack Engineer to build and integrate user-facing applications and backend systems that support AI-powered solutions.

You will design conversational interfaces, admin portals, and API integrations for AI model orchestration, delivering production-ready, scalable systems.

Qualifications

  • Experience designing responsive UI and chat interfaces.
  • Strong knowledge of frontend frameworks (React/Next.js/Vue/Angular).
  • Experience with Python, Node.js, Java and API integration.

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 Technologies
Backend API Integration
Enterprise Integration
Cloud Platforms
LangGraph/LangChain
Python
Node.js
REST/GraphQL APIs
WebSocket
SQL/NoSQL
SAP/Salesforce Integration

Tools

React
Next.js
Vue
Angular
GraphQL

Job description

Job Description

Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.

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, 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 in working with any one cloud and usage of serverless technologies
  • Experience in Database ( SQL & NoSQL)
  • 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)
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