Full-Stack Engineer – AI-Native Solutions

This is a fully remote position, open to applicants in Virginia.

📋 Description

• Develop, test, deploy, and maintain secure, scalable full-stack enterprise software within Guidehouse’s Chief Transformation Officer organization.

• Assist with AI Transformation, Solution Studio, and other key CXO initiatives.

• Provide production-scale solutions, prototypes, and MVPs as needed.

• Create end-to-end applications encompassing front-end experiences, backend services and APIs, data persistence, enterprise integrations, and authentication and authorization.

• Utilize AI coding assistants and agents for implementation, refactoring, testing, debugging, and documentation; review and validate the generated code and outputs.

• Design for performance, reliability, scalability, and maintainability.

• Confirm behavior through automated tests, code reviews, and representative workloads.

• Incorporate generative AI, retrieval-augmented generation (RAG), agents, and tool calling when appropriate.

• Assess solution quality, latency, cost, and security prior to scaling.

• Work alongside Technical Product Managers and architects to clarify requirements, estimate engineering tasks, and communicate technical trade-offs, dependencies, and delivery risks.

• Deploy and manage cloud-native solutions utilizing automated testing, CI/CD, infrastructure as code, and observability practices.

• Implement enterprise security, privacy, and responsible AI controls.

• Monitor and troubleshoot deployed solutions effectively.

• Maintain technical documentation and support runbooks.

• Coordinate production readiness and transition with IT and business stakeholders.

⛳️ Requirements

• Bachelor’s degree; Four (4) years of additional professional experience may be considered in lieu of a degree.

• At least four (4) years of software engineering experience, with proven independent delivery of production full-stack applications and experience in deploying or operating cloud-native services.

• Proficient in JavaScript/TypeScript and a modern front-end framework, as well as Python or another backend language.

• Familiarity with APIs, databases, authentication, and enterprise integrations.

• Practical experience employing AI coding assistants or agents, including providing clear instructions, critically assessing generated code, and validating behavior through tests and debugging.

• Minimum one (1) year of hands-on experience incorporating generative AI or agent functionalities into applications.

• Comprehension of generative AI and agent limitations and evaluation requirements.

• Experience with a major cloud platform, Git, automated testing, CI/CD, containers, and infrastructure as code.

• Capability to troubleshoot using logs, metrics, and traces.

• Excellent written and verbal communication skills.

• Ability to convey technical concepts and trade-offs to both technical and non-technical audiences.

• Ability to demonstrate working solutions, pose clarifying questions, communicate progress and risks effectively, and engage professionally and credibly in discussions with stakeholders and clients.

• Eligibility to obtain Public Trust clearance.

🏝️ Benefits

• Medical, Rx, Dental & Vision Insurance

• Personal and Family Sick Time & Company Paid Holidays

• Position may qualify for a discretionary variable incentive bonus

• Parental Leave and Adoption Assistance

• 401(k) Retirement Plan

• Basic Life & Supplemental Life Insurance

• Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts

• Short-Term & Long-Term Disability Insurance

• Student Loan PayDown Program

• Tuition Reimbursement, Personal Development & Learning Opportunities

• Skills Development & Certifications

• Employee Referral Program

• Corporate Sponsored Events & Community Outreach

• Emergency Back-Up Childcare Program

• Mobility Stipend

• Flexible benefits package

• Competitive compensation