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AI Software Engineer

Guidehouse

Remote · Remote (Any location), United States, US$74k – $124k

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About this role

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, Clo

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