AI Software Engineer

Job Family : Software Development & Support Travel Required : None Clearance Required : Ability to Obtain Public Trust 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. 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. 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 protecti