AI Software Engineer
Software Engineering, Data Science
United States · Remote
USD 74k-124k / year
Job Family:
Software Development & Support
Travel Required:
Clearance Required:
Guidehouse Technology is seeking a motivated AI Software Engineer to join our growing team supporting federal clients. This role is ideal for an early- to mid-career technologist who is passionate about building secure, scalable, user-centric AI-enabled solutions that address complex government mission challenges.
What You Will Do
You will 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. Working with cross-functional teams—including senior engineers, data scientists, product managers, and mission stakeholders—you will help deliver high-impact solutions that combine modern engineering practices with Artificial Intelligence capabilities.
This role emphasizes strong engineering fundamentals, hands-on development, collaboration, continuous learning, and responsible use of Generative AI–assisted coding tools to accelerate development, improve quality, and enhance delivery velocity.
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.
What You Will Need
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. Candidates with an ACTIVE PUBLIC TRUST or SUITABILITY are preferred.
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.
What Would Be Nice to Have
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.
What We Offer:
Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.
Benefits include:
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
About Guidehouse
Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.
Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.
If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.
All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.
If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties.
Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.