Senior AI Software Developer

Job  Category:
Information Technology

Job Location:

Gaithersburg, Maryland Security Clearance:
No Clearance Business Unit:
Zachary Piper Position Owner:
Mark Mc Mullen Zachary  Piper Solutions is seeking a Senior AI Software Developer to support the development and modernization of real-time, mission-critical software systems in Gaithersburg, MD. The Senior AI Software Developer will design and develop microservices-based applications while providing technical leadership across Agile development teams and leveraging AI-assisted development tools to improve software delivery, testing, and reliability. This position is hybrid in Gaithersburg, MD with three days onsite per week and requires the ability to obtain and maintain a Public Trust clearance!

Responsibilities of the Senior AI Software Developer:

Design, develop, and maintain scalable microservices-based applications supporting real-time, mission-critical systems

Lead Agile sprint planning to establish team priorities, deliverables, and technical objectives

Provide technical leadership and mentorship to software developers while promoting engineering best practices and continuous improvement

Develop clean, maintainable, testable, and high-performance software using Java, Python, C++, or similar programming languages

Leverage AI-assisted development tools to accelerate coding, debugging, refactoring, documentation, and automated test creation

Support development and integration of AI-enabled, data-driven, and intelligent software capabilities

Collaborate with systems engineering, product owners, architects, Dev Sec Ops  engineers, and other technical teams to translate requirements into production software

Participate in system architecture, application design, and technical decision-making

Design and integrate REST APIs, databases, messaging systems, and external services

Develop software for distributed and event-driven application environments

Implement automated testing strategies including unit, integration, contract, and end-to-end testing

Integrate automated testing into CI/CD pipelines to improve software quality and deployment reliability

Support application troubleshooting, debugging, performance tuning, and root cause analysis

Work closely with QA, Dev Sec Ops , and platform engineering teams to ensure reliable software delivery

Participate in Agile/SAFe ceremonies including sprint planning, daily standups, reviews, and retrospectives

Support containerized and cloud-based application environments using technologies such as Docker, Kubernetes, and AWSQualifications for the Senior AI Software Developer:

Bachelor's degree in Computer Science, Engineering, or a related technical discipline with 8+ years of relevant experience;
Master's degree with 6+ years of relevant experience; equivalent professional experience may be considered

Hands-on experience designing, developing, and supporting microservices-based applications

Strong programming experience with Java, Python, C++, or a similar modern programming language within Linux environments

Experience or exposure to AI/ML-enabled systems, AI-assisted software development, automation, or intelligent platforms

Experience with AI development tools such as Claude Code or similar AI coding assistants

Strong understanding of APIs, distributed systems, and modern software architecture concepts

Experience developing software within Agile environments

Experience collaborating across software development, systems engineering, QA, Dev Sec Ops , and product teams

Experience developing automated unit, integration, or end-to-end tests

Strong troubleshooting, debugging, and software performance optimization skills

Ability to provide technical leadership and mentorship within a software development team Ability to obtain and maintain a Public Trust clearance

Preferred Qualifications:

Experience with Git-based source control and CI/CD pipelines

Experience working within Scaled Agile Framework (SAFe) environments

Experience with relational and/or No

SQL databases

Hands-on experience with Kafka or other event-streaming and messaging technologies

Experience with AWS cloud environments;
Azure or GCP experience also applicable

Experience with Docker, Kubernetes, and containerized application environments

Experience working within Dev Sec Ops  software delivery environments

Experience integrating automated test suites into CI/CD pipelines

Experience developing real-time, highly available, or safety-critical software systems

Compensation for the Senior AI Software…