Java Full Stack Engineer

Project Role Description:

Develop custom software solutions by designing, coding, and enhancing system and application components. Leverage modern frameworks and agile practices to deliver scalable, high-performing solutions aligned with business needs.

Must-Have Skills:

Java Full Stack Development S1907952

Good-to-Have Skills:

None

Minimum Experience:

4 years in Java Full Stack Development

Education:

15 years of full-time education

Role Overview

Seeking a Full Stack Engineer to design and integrate user-facing applications and backend systems supporting cutting-edge AI-powered solutions. The role involves building conversational interfaces, admin portals, and API integrations to enable seamless AI model orchestration and interaction.

Key Responsibilities

• Develop intuitive, responsive web and mobile interfaces for conversational AI 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 for multi-turn dialogue interactions.
• Implement response caching, retry logic, token streaming, and escalation mechanisms.
• Build transparency features such as structured output parsing, logs, interaction history, and feedback workflows.
• Ensure production-grade quality with automated testing, robust error handling, and responsive design.
  

Key Skills And Experience

UI Engineering

• Experience with chat interfaces, form-based flows, and multi-turn conversational experiences.
• Strong understanding of user-centric and responsive UI design.
  

Frontend Technologies

• Proficiency in JavaScript and frameworks such as React, Next.js, Vue, or Angular.
  

Backend Engineering & API Integration

• Experience with Python, Node.js, Java, REST/GraphQL APIs, and WebSocket systems.
• Familiarity with AI orchestration frameworks like LangGraph, LangChain Agents, AutoGen.
• Knowledge of response caching, retry/backoff strategies, token streaming, and secure data handling.
• Cloud experience (AWS/GCP/Azure) including serverless services.
• SQL & NoSQL database expertise.
• Strong debugging, performance tuning, and testing practices.
  

Enterprise Integration

• Experience integrating with platforms such as SAP, Salesforce, or other enterprise systems.
• Knowledge of API gateway patterns and integration into AI pipelines.
• Experience with CI/CD pipelines and cloud-native tooling.
  

Skills: java,enterprise,skills,agents,api,cloud,integration,design,interfaces,stack