AI Engineer-Java

Title: AI Engineer-Java
Location: Tysons, VA or Rockville, MD (Locals preferred)
Duration: 6 months (Hybrid)
Type: Contract

Interview Process:

1. 30-minute screen with Vendor Management office
2. 45-minute tech screen
3. On-site interview 1.5-2 hrs.

We are seeking a Backend Software Engineer with strong experience in Java, Spring Boot, and AWS to build and scale cloud-native applications in a modern engineering environment.
This role is focused on developing high-quality backend services while leveraging AI-powered development tools to improve productivity, code quality, and delivery speed. You will play a key role in building scalable systems while helping drive adoption of AI-assisted development practices across the team.
Job Description:

• Building modern, cloud-native backend services using Java and AWS
• Working in an environment that is actively embracing AI-assisted software development (e.g., Copilot, Kiro, AI coding tools)
• Opportunity to influence how AI is integrated into the software development lifecycle
• Collaborating with forward-thinking teams focused on improving engineering productivity and efficiency
• Exposure to evolving development practices that combine traditional engineering with AI-driven workflows
• Contributing to scalable, enterprise-level systems with real business impact

Must Haves:

• Strong experience with Java and Spring Boot for backend development
• Hands-on experience building and deploying applications in AWS environments
• Experience designing and developing RESTful APIs and microservices
• Familiarity with cloud-native architecture patterns, including containerization or serverless
• Experience with CI/CD pipelines and modern development practices
• Exposure to or interest in using AI-powered development tools (e.g., GitHub Copilot, AI-assisted coding tools)
• Understanding of how AI can enhance developer productivity and software delivery
• Strong problem-solving skills and ability to work in a fast-paced, evolving environment

Responsibilities:

• Design, develop, and maintain scalable backend services using Java and Spring Boot
• Build and deploy applications within AWS cloud environments
• Develop and integrate REST APIs and microservices supporting enterprise applications
• Collaborate with cross-functional teams to deliver high-quality, reliable software solutions
• Leverage AI-powered tools to improve development speed, code quality, and efficiency
• Contribute to the adoption of AI-enabled development practices across the engineering team
• Participate in architectural discussions and help define best practices for cloud-native development
• Ensure performance, scalability, and reliability of backend systems in production