AI-Enabled Java Full Stack Engineering Lead

About the role

We are seeking an AI-Enabled Java Full Stack Engineering Lead to join our engineering team in Sunnyvale, CA. In this role, you will lead technical delivery from concept to production, architecting scalable full-stack applications while integrating modern Artificial Intelligence and Generative AI solutions into enterprise platforms. The position is located in San Francisco, California, is a contract role, and requires a Bachelor's degree.

Responsibilities

• Design, build, and deploy robust full-stack applications using Java, Spring Boot, REST APIs, and modern frontend frameworks (React or Angular).
• Architect and integrate AI capabilities, including intelligent agents, automated workflows, recommendation engines, and GenAI solutions.
• Develop reusable enterprise accelerators, services, and APIs to elevate software delivery speed and quality across teams.
• Lead rapid prototyping and proof-of-concept initiatives to evaluate emerging technologies and real-world AI application patterns.
• Promote engineering excellence by leveraging AI-assisted development tools, automated testing, robust CI/CD practices, and observability.

Qualifications

Required:

• 5+ years of experience in Java software engineering and full-stack application development.
• 5+ years of hands-on experience with Spring Boot, microservices architecture, and RESTful API design.
• Demonstrated hands-on experience developing or integrating AI/Generative AI solutions and workflow automation.
• Strong knowledge of modern software engineering practices, testing frameworks, and continuous integration pipelines.
• Ability to work independently in a hybrid model (3 days per week on-site in Sunnyvale, CA).

Preferred:

• Experience with modern frontend frameworks such as React or Angular.
• Familiarity with gRPC protocols and enterprise observability frameworks.
• Proven experience building reusable software frameworks or developer platform tools.

Skills

• Angular
• reusable frameworks
• APIs
• AI-Enabled
• AI
• AI use cases
• Automated Testing
• CI/CD pipelines
• enterprise applications
• Generative AI
• Generative AI solutions
• Observability Tools
• expertise in Java
• Java Development
• microservices
• Microservices Architecture
• rapid prototyping
• React
• recommendation engines
• REST
• REST API Design
• software architectures
• code quality
• Spring Boot
• Spring Boot Framework
• modern frontend frameworks
• resilient
• autonomous
• AI-assisted development
• automation
• edge AI
• Java Full Stack
• full-stack systems
• full-stack applications
• full-stack development
• observability practices
• proof-of-concept (PoC)
• robust testing
• sustainability
• Technical Leadership
• workflows
• workflow automation