Technical Lead - Full Stack (AI)

White Cloak Technologies, Inc.; Pasig; On-site; PHP 1,800,000 - 2,800,000; Full time

Job summary

White Cloak Technologies, Inc. is seeking a Full Stack Technical Lead to drive architecture, development, and delivery of modern full‑stack applications. You will blend hands-on engineering with technical leadership, mentoring developers and guiding code reviews while integrating AI capabilities into software workflows.

You will design scalable backend services with Java/Spring Boot, contribute to frontend work using React/Angular, and promote AI-first development practices across teams.

Qualifications

• 6+ years of software development experience, with significant experience in Java.
• Strong hands-on experience with Java and Spring Boot.
• Solid understanding of microservices, REST APIs, database design, and enterprise application architecture.
• Strong full-stack development experience with at least one modern frontend framework (React/Angular).
• Experience leading technical projects, initiatives, or development teams.
• Strong understanding of software architecture, design patterns, clean code, and development best practices.
• Hands-on experience with AI/Generative AI technologies.
• Strong problem-solving, communication, and technical decision-making skills.

Responsibilities

• Lead the technical design, development, and delivery of full-stack applications using Java/Spring Boot and modern frontend technologies.
• Define and drive application architecture, coding standards, design patterns, and engineering best practices.
• Provide technical direction and mentorship to developers through code reviews, design discussions, and technical guidance.
• Develop scalable and secure REST APIs, microservices, and backend services using Java and Spring Boot.
• Contribute to frontend development using React, Angular, or similar frameworks.
• Drive the integration and adoption of AI capabilities into applications and engineering workflows.
• Design and implement solutions involving LLMs, Generative AI, AI APIs, RAG, embeddings, vector databases, or AI-assisted development tools.
• Evaluate AI technologies, frameworks, and approaches and determine how they can be applied to business and technical requirements.
• Promote AI-first development practices, including the use of AI coding assistants for development, testing, documentation, and productivity.
• Troubleshoot complex technical issues across application, integration, and infrastructure layers.
• Collaborate with product, QA, DevOps and stakeholders to translate requirements into technical solutions.
• Ensure applications meet standards for performance, scalability, security, reliability, and maintainability.
• Participate in technical discovery, estimation, PoCs, and architecture reviews.
• Stay current with emerging technologies in Java, cloud computing, full-stack development, and AI.

Skills

Java

Spring Boot

Microservices

REST APIs

React/Angular

Leadership

AI/GenAI

Cloud (AWS/Azure/GCP)

Git & CI/CD

Tools

Docker

Kubernetes

OpenAI API

Git

Job description

The Full Stack Technical Lead will lead the technical design, development, and delivery of modern full-stack applications, combining hands‑on engineering with technical leadership. Working with Product Managers, Business Analysts, QA, DevOps, and other stakeholders, the role drives architecture and engineering best practices while guiding developers through mentorship and code reviews. A key impact area is integrating AI capabilities—such as LLMs and RAG—into applications and engineering workflows to build smarter, faster, and more scalable solutions.

Responsibilities

• Lead the technical design, development, and delivery of full-stack applications using Java/Spring Boot and modern frontend technologies
• Define and drive application architecture, coding standards, design patterns, and engineering best practices
• Provide technical direction and mentorship to developers through code reviews, design discussions, and technical guidance
• Develop scalable and secure REST APIs, microservices, and backend services using Java and Spring Boot
• Contribute to frontend development using technologies such as React, Angular, or similar frameworks
• Drive the integration and adoption of AI capabilities into applications and engineering workflows
• Design and implement solutions involving LLMs, Generative AI, AI APIs, RAG, embeddings, vector databases, or AI-assisted development tools, where applicable
• Evaluate AI technologies, frameworks, and approaches and determine how they can be applied to business and technical requirements
• Promote AI-first development practices, including the use of AI coding assistants for development, testing, documentation, and productivity
• Troubleshoot complex technical issues across application, integration, and infrastructure layers
• Collaborate with Product Managers, Business Analysts, QA, DevOps, and other stakeholders to translate requirements into technical solutions
• Ensure applications meet standards for performance, scalability, security, reliability, and maintainability
• Participate in technical discovery, estimation, proof-of-concepts, and architecture reviews
• Stay current with emerging technologies in Java, cloud computing, full-stack development, and AI and identify opportunities for innovation

Required Qualifications

• 6+ years of software development experience, with significant experience in Java
• Strong hands-on experience with Java and Spring Boot
• Solid understanding of microservices, REST APIs, database design, and enterprise application architecture
• Strong full-stack development experience with at least one modern frontend framework (preferably React or Angular)
• Experience leading technical projects, initiatives, or development teams
• Strong understanding of software architecture, design patterns, clean code, and development best practices
• Hands-on experience or demonstrated project exposure to AI/Generative AI technologies
• Strong problem-solving, communication, and technical decision-making skills

Preferred Qualifications

• Experience integrating AI/LLM APIs or AI capabilities into software applications
• Experience with cloud platforms such as AWS, Azure, or GCP
• Familiarity with CI/CD, Git, Docker, Kubernetes, and automated testing
• Building applications using OpenAI, Azure OpenAI, Gemini, Claude, or other LLM APIs
• Retrieval-Augmented Generation (RAG)
• Vector databases and semantic search
• Prompt engineering and LLM orchestration
• AI agents and tool/function calling
• Integrating AI into existing enterprise applications
• AI-powered automation and workflow solutions
• Using AI coding tools such as GitHub Copilot, Cursor, or Claude Code
• Developing or modernizing applications using an AI-first engineering approach