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