Full-Stack Engineer – AI-Native Solutions

Guidehouse

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

Posted 11/3/2026full-timeRemote • Virginia • United StatesMid-LevelSenior💰 $98,000 - $163,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building, deploying, and maintaining full-stack enterprise software solutions, with a strong focus on integrating generative AI and ensuring security and scalability. Proficient in collaborating with cross-functional teams to deliver production-scale applications and effectively communicate technical concepts to diverse audiences.

Highest-signal resume keywords

Full-Stack Application DevelopmentGenerative AI IntegrationCloud-Native Services DeploymentAutomated Testing and CI/CDJavaScript/TypeScript Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Full-Stack DevelopmentJavaScriptTypeScriptPythonAPI DevelopmentDatabase ManagementAutomated TestingCI/CDInfrastructure as CodeCloud Services

Soft Skills

Strong Communication SkillsStakeholder EngagementTechnical Concept ExplanationProblem-SolvingCollaboration

Tools & Technologies

AI Coding AssistantsGitContainersCloud PlatformsObservability Tools

Certifications & Qualifications

Public Trust Clearance

Industry Keywords

Enterprise SoftwareAI TransformationSecurity and Privacy ControlsPerformance EngineeringTechnical Documentation

Tech Stack

Tools & technologies

CloudJavaScriptPythonTypeScript

About the role

Key responsibilities & impact

Build, test, deploy, and maintain secure, scalable full-stack enterprise software within Guidehouse’s Chief Transformation Officer organization.
Support AI Transformation, Solution Studio, and other strategic CXO initiatives.
Deliver production-scale solutions, prototypes, and MVPs as assignments require.
Build end-to-end applications with front-end experiences, backend services and APIs, data persistence, enterprise integrations, and authentication and authorization.
Use AI coding assistants and agents for implementation, refactoring, testing, debugging, and documentation; review and validate generated code and outputs.
Engineer for performance, reliability, scalability, and maintainability.
Validate behavior through automated tests, code reviews, and representative workloads.
Integrate generative AI, retrieval-augmented generation (RAG), agents, and tool calling when fit for purpose.
Evaluate solution quality, latency, cost, and security before scaling.
Collaborate with Technical Product Managers and architects to clarify requirements, estimate engineering work, and communicate technical tradeoffs, dependencies, and delivery risks.
Deploy and operate cloud-native solutions using automated testing, CI/CD, infrastructure as code, and observability.
Implement enterprise security, privacy, and responsible AI controls.
Monitor and troubleshoot deployed solutions.
Maintain technical documentation and support runbooks.
Coordinate production readiness and handoff with IT and business owners.

Requirements

What you’ll need

Bachelor’s degree; Four (4) years additional professional experience may be substituted in lieu of degree.
Minimum four (4) years of software engineering experience, with demonstrated independent delivery of production full-stack applications and experience deploying or operating cloud-native services.
Hands-on proficiency with JavaScript/TypeScript and a modern front-end framework, plus Python or another backend language.
Experience with APIs, databases, authentication, and enterprise integrations.
Practical experience using AI coding assistants or agents, including giving clear instructions, critically reviewing generated code, and validating behavior through tests and debugging.
Minimum one (1) year of hands-on experience integrating generative AI or agent capabilities into applications.
Understanding of generative AI and agent limitations and evaluation needs.
Experience with a major cloud platform, Git, automated testing, CI/CD, containers, and infrastructure as code.
Ability to troubleshoot using logs, metrics, and traces.
Strong written and verbal communication skills.
Ability to explain technical concepts and tradeoffs to technical and nontechnical audiences.
Ability to demonstrate working solutions, ask clarifying questions, communicate progress and risks clearly, and engage professionally and credibly in stakeholder and client discussions.
Ability to obtain Public Trust clearance.

Benefits

Comp & perks

Medical, Rx, Dental & Vision Insurance
Personal and Family Sick Time & Company Paid Holidays
Position may be eligible for a discretionary variable incentive bonus
Parental Leave and Adoption Assistance
401(k) Retirement Plan
Basic Life & Supplemental Life
Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
Short-Term & Long-Term Disability
Student Loan PayDown
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