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Senior Java Full Stack Developer with AI

Hexaware

United States · Posted August 16, 2026

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Skills this job asks for

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  • Python
  • AWS
  • CI/CD
  • Java
  • DevOps

About the job

Position: Senior Java Full Stack Developer with AI

Location: McLean, VA (5 days onsite from office)

Job Summary:

We are seeking a Senior Java Full Stack Developer with strong experience in building scalable enterprise applications using modern Java, microservices, cloud, and front-end technologies.

The ideal candidate will have hands-on expertise across backend development, UI integration, cloud-native deployment, and DevOps practices.

Experience with AI-driven solutions, Python, LangChain, and LangGraph will be highly valuable for building next-generation intelligent applications and workflow orchestration solutions.

Key Responsibilities: -

Design, develop, and maintain scalable full stack applications using Java, Spring Boot, REST APIs, and modern UI frameworks.

- Build and enhance microservices-based solutions with strong focus on performance, security, monitoring, and reliability.

- Develop responsive and user-friendly front-end applications using Angular or ReactJS.- Design and implement cloud-based solutions using AWS services.

- Collaborate with cross-functional teams to understand application architecture, build processes, and deployment requirements.

- Contribute to CI/CD pipelines and DevOps automation using industry-standard tools.

- Support application deployment, integration, troubleshooting, and performance optimization across target environments.

- Explore and implement AI-powered application capabilities using Python and modern orchestration frameworks such as LangChain and LangGraph.

Required Skills:

- 7+ years of experience in design and development of applications using Java 8+, J2EE, Spring, Spring Boot, RESTful Services, and UI frameworks.

- 2+ years of experience in designing and developing microservices using Spring Boot and REST APIs.

- Experience with AI application development and integrating intelligent workflows into enterprise systems.

- Hands-on experience with Python for backend scripting, automation, or AI/ML integrations.

- Familiarity with LangChain, LangGraph.