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# AI Software Developer

- **Company:** ClearBridge Technology Group
- **Location:** United States
- **Experience:** Experienced
- **Salary:** $114,400.0 - $166,400.0
- **Contract:** Temporary contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Microsoft Azure, C++ (Programming Language), Software Design Documents, Linux, Python (Programming Language), NoSQL, Data Mesh, Runbook, Openapi, Claude Code, HybridCloud, Kubernetes, Infrastructure Automation Frameworks, Restful APIs, Domain Driven Design, Docker, Microservices
- **Published:** October 6, 2026
- **Apply:** https://www.dice.com/job-detail/f067468e-43f0-427f-8b91-bb47e48101ef

## About the Role

* At least 4 years of experience with a bachelors degree.
 * Experience building and supporting microservices-bases systems.
 * Experience writing Java and C++, Java being the more critical, code using Claude Code or a similar AI tool.
 * Prior experience developing Java, C++ or Python on a Linux-based system.
 * Experience working in an Agile environment.
 * Prior experience designing and implementing RESTful APIs.

Preferred or Nice to Have Skills:

 * Docker or Kubernetes experience.
 * Experience developing within an AWS or Azure environment.
 * Knowledge of domain-driven design and data mesh patterns.

## Description

Our client, a leading Government Systems Integrator, is in need of 15 AI Software Developers for initial 12 month contracts. This is a hybrid schedule consisting of 3 days onsite and 2 days remote with candidates being located in either Gaithersburg, MD, Egg Township, NJ or Eagan, MN. The AI Software Developers will supporting the development of a mission-critical, future ready automation platform built on a hybrid cloud data mesh architecture. The AI Software Developers will be responsible designing and developing microservices, re-writing Java and C++ code using Claude Code, Implementing RESTful APIs and event-driven integrations within a hybrid cloud data mesh architecture, Integrate relational and NoSQL databases ensuring data consistency, troubleshoot complex issues spanning multiple services, APIs and infrastructure layers, contribute to design documents, API specifications and runbooks, etc.