AI Software Engineer

About the role

This role is ideal for an early- to mid-career technologist passionate about building secure, scalable, user-centric AI-enabled solutions addressing complex government mission challenges.

Responsibilities

• Contribute to the design, development, testing, and deployment of full-stack web applications on AWS, integrating workflow orchestration, relational data systems, analytics, and accessible user interfaces.
• Develop and maintain application components spanning frontend interfaces, backend services, APIs, workflow orchestration, and relational database layers.
• Implement workflow and process automation capabilities to support business and mission operations.
• Develop data visualization and analytics features, including dashboards, charts, reports, and interactive UI components that support decision-making.
• Support implementation of AI-enabled features such as intelligent search, chatbots, document processing, summarization, semantic search, or agent-assisted workflows.
• Use Generative AI–assisted development tools, such as GitHub Copilot, Cursor, or Claude Code, for code generation, debugging, testing, refactoring, and documentation while following code quality and security practices.
• Participate in a SAFe (Scaled Agile Framework) or Agile delivery environment, contributing to sprint planning, backlog refinement, demos, retrospectives, and cross-team coordination.
• Support DevSecOps practices by using application security tools and processes, including SAST, DAST, SCA, dependency scanning, container scanning, and vulnerability remediation.
• Contribute to CI/CD pipeline activities, including automated testing, security scanning, deployment automation, and compliance checks.
• Collaborate with cross-functional teams to prototype, iterate, and deliver scalable, secure, and maintainable solutions aligned to mission requirements.

Requirements

• Must be able to OBTAIN and MAINTAIN a Federal or DoD "PUBLIC TRUST"; candidates must obtain approved adjudication of their PUBLIC TRUST prior to onboarding with Guidehouse.
• Bachelor’s degree in Computer Science, Engineering, Data Science, Information Systems, or a related technical field, OR Additional FOUR (4) years experience in lieu of Degree.
• Minimum of TWO (2) years of professional software engineering experience, or a combination of professional experience, internships, academic projects, bootcamp experience, or equivalent hands-on development experience.
• Working proficiency in Java or Python for backend development, including object-oriented programming, debugging, automated testing, and API development.
• Hands-on experience with ReactJS, JavaScript, HTML, and CSS for modern frontend application development.
• Experience or strong familiarity with building and deploying applications in cloud environments, preferably AWS.
• Experience with RESTful APIs, version control using Git, collaborative development workflows, and basic microservices or distributed application concepts.
• Experience with relational databases and SQL, such as PostgreSQL, MySQL, or Amazon Aurora.
• Familiarity with accessibility principles and web interface development aligned with Section 508 and usability standards.
• Interest in and practical exposure to AI-enabled software capabilities such as intelligent search, chatbots, document processing, analytics, summarization, or workflow automation.
• Hands-on experience using or willingness to use Generative AI–assisted coding tools to support development, testing, refactoring, and documentation.
• Basic understanding of secure coding, automated testing, CI/CD, DevSecOps, and application security concepts.
• Ability to work effectively in an Agile or SAFe team environment and contribute to sprint-based delivery activities.
• Strong analytical, problem-solving, communication, and collaboration skills, with the ability to work independently on assigned tasks and seek guidance when needed.

Qualifications

• Must be able to OBTAIN and MAINTAIN a Federal or DoD "PUBLIC TRUST"; candidates must obtain approved adjudication of their PUBLIC TRUST prior to onboarding with Guidehouse.
• Bachelor’s degree in Computer Science, Engineering, Data Science, Information Systems, or a related technical field, OR Additional FOUR (4) years experience in lieu of Degree.
• Minimum of TWO (2) years of professional software engineering experience, or a combination of professional experience, internships, academic projects, bootcamp experience, or equivalent hands-on development experience.
• Working proficiency in Java or Python for backend development, including object-oriented programming, debugging, automated testing, and API development.
• Hands-on experience with ReactJS, JavaScript, HTML, and CSS for modern frontend application development.
• Experience or strong familiarity with building and deploying applications in cloud environments, preferably AWS.
• Experience with RESTful APIs, version control using Git, collaborative development workflows, and basic microservices or distributed application concepts.
• Experience with relational databases and SQL, such as PostgreSQL, MySQL, or Amazon Aurora.
• Familiarity with accessibility principles and web interface development aligned with Section 508 and usability standards.
• Interest in and practical exposure to AI-enabled software capabilities such as intelligent search, chatbots, document processing, analytics, summarization, or workflow automation.
• Hands-on experience using or willingness to use Generative AI–assisted coding tools to support development, testing, refactoring, and documentation.
• Basic understanding of secure coding, automated testing, CI/CD, DevSecOps, and application security concepts.
• Ability to work effectively in an Agile or SAFe team environment and contribute to sprint-based delivery activities.
• Strong analytical, problem-solving, communication, and collaboration skills, with the ability to work independently on assigned tasks and seek guidance when needed.

Skills

• Java or Python for backend development.
• ReactJS, JavaScript, HTML, and CSS for modern frontend application development.
• AWS services such as Lambda, ECS/Fargate, API Gateway, Step Functions, S3, Glue, CloudWatch, IAM, or Amazon Bedrock.
• Data visualization tools and libraries, such as D3.js, Plotly, Tableau, Amazon QuickSight, or similar.
• Infrastructure as Code tools such as Terraform, AWS CDK, or CloudFormation.
• Exposure to modern data architectures, including data lakes, lakehouse patterns, federated query engines, or analytics platforms.
• Secure coding, automated testing, CI/CD, DevSecOps, and application security concepts.
• Generative AI–assisted development tools, such as GitHub Copilot, Cursor, or Claude Code.

Benefits

The annual salary range for this position is $74,000.00-$124,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.

Pay

The annual salary range for this position is $74,000.00-$124,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.

Schedule

The schedule for this role is not specified.