AI Software Engineer

Summary

Guidehouse is seeking an AI Software Engineer to support federal clients by building secure, scalable, user-centric AI-enabled solutions for complex government missions. The role focuses on developing and deploying full-stack web applications on AWS, integrating frontend and backend services, data systems, analytics, workflow automation, and AI capabilities while collaborating in Agile and DevSecOps environments.

Responsibilities

• Contribute to the design, development, testing, and deployment of AI-enabled full-stack web applications deployed on AWS
• Develop and maintain application components spanning frontend interfaces, backend services, APIs, workflow orchestration, and relational database layers
• Build and enhance accessible, user-friendly web interfaces using ReactJS and related frontend technologies, supporting Section 508 and usability standards
• Develop backend services using Java or Python, including RESTful APIs, business logic, integrations, unit tests, and support for microservices-based architectures
• Support the design and maintenance of RDBMS-based data models and SQL queries using technologies such as PostgreSQL, MySQL, or Amazon Aurora
• 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
• Participate in code reviews, technical design discussions, troubleshooting, documentation, and peer collaboration to improve software quality and maintainability
• Collaborate with cross-functional teams to prototype, iterate, and deliver scalable, secure, and maintainable solutions aligned to mission requirements

Skills

• * 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
• Candidates with an ACTIVE PUBLIC TRUST or SUITABILITY are preferred
• * Experience developing AI/ML-enabled applications, such as Retrieval-Augmented Generation (RAG), chatbots, semantic search, summarization, document processing, or agentic workflows
• * Familiarity with AI frameworks or libraries such as LangChain, Haystack, Semantic Kernel, OpenAI-compatible APIs, or similar tools
• * Experience with AWS services such as Lambda, ECS/Fargate, API Gateway, Step Functions, S3, Glue, CloudWatch, IAM, or Amazon Bedrock
• * Exposure to modern data architectures, including data lakes, lakehouse patterns, federated query engines, or analytics platforms
• * Experience with data visualization tools and libraries, such as D3.js, Plotly, Tableau, Amazon QuickSight, or similar
• * Familiarity with Infrastructure as Code tools such as Terraform, AWS CDK, or CloudFormation
• * Awareness of federal security and compliance standards, including FISMA, FedRAMP, NIST 800-53, or secure software development practices
• * Exposure to application security and DevSecOps tools, including SAST, DAST, software composition analysis, dependency scanning, or container scanning
• * SAFe, Agile, AWS, security, or AI-related training or certifications
• * Demonstrated curiosity, adaptability, and commitment to continuous learning in AI-enabled, cloud-native software development

Qualifications

Must Haves

• * 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

Nice to Haves

• Candidates with an ACTIVE PUBLIC TRUST or SUITABILITY are preferred
• * Experience developing AI/ML-enabled applications, such as Retrieval-Augmented Generation (RAG), chatbots, semantic search, summarization, document processing, or agentic workflows
• * Familiarity with AI frameworks or libraries such as LangChain, Haystack, Semantic Kernel, OpenAI-compatible APIs, or similar tools
• * Experience with AWS services such as Lambda, ECS/Fargate, API Gateway, Step Functions, S3, Glue, CloudWatch, IAM, or Amazon Bedrock
• * Exposure to modern data architectures, including data lakes, lakehouse patterns, federated query engines, or analytics platforms
• * Experience with data visualization tools and libraries, such as D3.js, Plotly, Tableau, Amazon QuickSight, or similar
• * Familiarity with Infrastructure as Code tools such as Terraform, AWS CDK, or CloudFormation
• * Awareness of federal security and compliance standards, including FISMA, FedRAMP, NIST 800-53, or secure software development practices
• * Exposure to application security and DevSecOps tools, including SAST, DAST, software composition analysis, dependency scanning, or container scanning
• * SAFe, Agile, AWS, security, or AI-related training or certifications
• * Demonstrated curiosity, adaptability, and commitment to continuous learning in AI-enabled, cloud-native software development

Benefits

• Medical, Rx, Dental & Vision Insurance
• Personal and Family Sick Time & Company Paid Holidays
• Parental Leave
• 401(k) Retirement Plan
• Group Term Life and Travel Assistance
• Voluntary Life and AD&D Insurance
• Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts
• Transit and Parking Commuter Benefits
• Short-Term & Long-Term Disability
• Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities
• Employee Referral Program
• Corporate Sponsored Events & Community Outreach
• Care.com annual membership
• Employee Assistance Program
• Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)
• Position may be eligible for a discretionary variable incentive bonus