We are looking for an AI Fullstack Engineer to build and scale modern applications while driving adoption of AI-assisted development practices. This role combines strong backend engineering in Java with front-end development and hands-on experience leveraging AI tools to accelerate the software development lifecycle.
Key Responsibilities:
- Design and develop scalable backend services and APIs using Java and Spring Boot in an AWS environment
- Build and maintain CI/CD pipelines, infrastructure-as-code, and containerized deployments
- Contribute to React-based front-end applications for internal tools and dashboards
- Implement high-performance, thread-safe solutions using Java concurrency and design patterns
- Champion AI-augmented development practices, leveraging tools like GitHub Copilot and Claude
- Define best practices for prompt engineering, AI-assisted coding, testing, and documentation
- Support integration and adoption of enterprise AI platforms (e.g., Microsoft Foundry)
- Collaborate across teams to ensure high-quality, reliable, and scalable solutions
Required Skills & Experience:
- 5+ years of Java development with strong expertise in Spring Boot, multithreading, and design patterns
- Hands-on experience with AWS, CI/CD pipelines, and containerized deployments
- Proven experience using AI coding assistants in real-world development environments
- Understanding of AI-driven SDLC practices (prompting, code generation, testing, and automation)
- Strong knowledge of APIs, system integrations, and modern development workflows
Preferred Skills:
- Experience with React and modern front-end development
- Familiarity with Azure AI / Microsoft Foundry
- Exposure to event-driven architectures or messaging systems
- Working knowledge of Python for scripting or data workflows
What We’re Looking For:
- A hands-on builder with practical experience using AI tools to improve development efficiency
- Strong engineering fundamentals with a forward-looking mindset on AI-driven development
- Clear communicator who can translate AI capabilities into actionable team practices
- Ownership mindset with a focus on delivery, quality, and continuous improvement