AI Enabled – Java Full Stack Lead

Technical Leadership & Delivery
* Lead the design, development, and delivery of full stack applications using modern frameworks and architectures.
* Provide technical guidance to full stack developers across frontend, backend, and integration layers.
* Ensure scalable, secure, and high-performance system design aligned with enterprise standards.
* Own code quality, architecture decisions, and best practices.
AI & GenAI Enablement
* Identify opportunities to embed AI/GenAI use cases into business applications (e.g., recommendations, automation, insights).
* Leverage AI tools (e.g., GitHub Copilot, Azure OpenAI, LLM frameworks) to improve developer productivity and solution quality.
* Prototype and implement AI driven features such as chat interfaces, intelligent workflows, document processing, and analytics.
Collaboration & Mentorship
* Mentor team members on full stack development, AI adoption, and modern engineering practices.
* Collaborate with product owners, architects, data scientists, and DevOps teams.
* Promote a continuous learning and innovation mindset within the team.

Core Technical Skills
* Strong experience in Full Stack Development:
o Frontend: React / Angular / Vue , CSS , JavaScript
o Backend: Java (Spring Boot)
o APIs: REST, microservices architecture
* Experience with databases (SQL & NoSQL) , Data Analysis, Hibernate
* Hands on experience with cloud platforms (Azure / AWS preferred).
* Familiarity with DevOps & CI/CD pipelines.
AI & Digital Skills
* Exposure to GenAI/AI concepts, LLMs, or AI powered applications.
* Experience using AI developer tools (e.g., Copilot, AI assistants, automation tools).
* Understanding of AI integration patterns in enterprise systems.
* Prompt Engineering and AI Coding Assistants (GitHub CoPilot, Amazon Q, Google Duet, Devin, Cursor etc.)

The AI Enabled Full Stack Lead is responsible for leading end to end application development while embedding AI/GenAI capabilities into modern digital solutions. This role combines strong full stack engineering expertise with applied AI enablement, solution design, and technical leadership across delivery, innovation initiatives, and client engagements.