Full-Stack Engineer – AI-Native Solutions

Posted Yesterday
Be an Early Applicant
Hiring Remotely in McLean, VA, USA
In-Office or Remote
98K-163K Annually
Mid level
Consulting
The Role
Build, test, deploy, and maintain secure, scalable full-stack enterprise applications and prototypes. Develop front-end experiences, backend services, APIs, integrations, authentication, and data persistence. Use AI coding assistants and integrate generative AI, RAG, agents, and tool calling when appropriate. Operate cloud-native solutions with CI/CD, infrastructure as code, automated testing, observability, and security controls. Collaborate with product managers and architects, troubleshoot production systems, document solutions, and communicate technical risks and tradeoffs.
Summary Generated by Built In

Job Family:

Software Development & Support


Travel Required:

Up to 10%


Clearance Required:

Ability to Obtain Public Trust

What You Will Do:

Build, test, deploy, and maintain secure, scalable full-stack enterprise software within Guidehouse’s Chief Transformation Officer (CXO) organization, supporting AI Transformation, Solution Studio, and other strategic CXO initiatives. This hands-on engineering role uses AI coding assistants and agents throughout software development, with human review and verification, and incorporates generative AI capabilities where they add value. Collaborating with Technical Product Managers and architects, you will deliver reliable, maintainable applications that meet business and technical requirements.

  • Build, test, deploy, and maintain secure, scalable full-stack enterprise applications; deliver production-scale solutions or prototypes and MVPs as the assignment requires.
  • Build end-to-end applications, including usable 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 for correctness, security, and maintainability.
  • 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, and coordinate production readiness and handoff with IT and business owners.

What You Will 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, with the ability to give clear instructions, critically review generated code, and validate behavior through tests and debugging.
  • Minimum one (1) year of hands-on experience integrating generative AI or agent capabilities into applications, including an understanding of their 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: explain technical concepts and tradeoffs to technical and nontechnical audiences, demonstrate working solutions, ask clarifying questions, communicate progress and risks clearly, and engage professionally and credibly in stakeholder and client discussions.

What Would Be Nice To Have:

  • Experience in client-facing solution engineering or consulting, or in enterprise transformation within a matrixed organization.
  • Familiarity with workflows and regulatory requirements in Guidehouse industries: Healthcare; Financial Services; Communities, Energy & Infrastructure; and Defense & Security.
  • Experience delivering production-scale solutions with demanding performance or reliability requirements, or developing reusable components and AI-assisted delivery practices.
  • Relevant cloud, DevOps, or AI certifications.
  • Master’s degree in relevant technical or business discipline.

The annual salary range for this position is $98,000.00-$163,000.00. 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

  • 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

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 [email protected]. 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 [email protected].  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 [email protected]. 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.

Skills Required

  • Bachelor's degree, or four additional years of professional experience in lieu of a degree
  • At least four years of software engineering experience
  • Independent delivery of production full-stack applications
  • Experience deploying or operating cloud-native services
  • Hands-on proficiency with JavaScript or TypeScript and a modern front-end framework
  • Proficiency with Python or another backend language
  • Experience with APIs, databases, authentication, and enterprise integrations
  • Practical experience using AI coding assistants or agents
  • At least one year of hands-on experience integrating generative AI or agent capabilities into applications
  • 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
  • Experience in client-facing solution engineering, consulting, or enterprise transformation
  • Familiarity with workflows and regulatory requirements in Guidehouse industries
  • Experience delivering production-scale solutions with demanding performance or reliability requirements
  • Experience developing reusable components or AI-assisted delivery practices
  • Relevant cloud, DevOps, or AI certifications
  • Master's degree in a relevant technical or business discipline

Guidehouse Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Guidehouse and has not been reviewed or approved by Guidehouse.

  • Healthcare Strength — Feedback suggests the benefits package includes broad medical, dental, vision, prescription, life, and disability coverage, which is often seen as a strong foundational offering. Access to HSA/FSA options further supports day-to-day healthcare and dependent-care needs.
  • Parental & Family Support — Feedback suggests parental leave and adoption assistance are available, alongside an emergency back-up childcare program. These offerings indicate meaningful support for employees managing family responsibilities.
  • Wellbeing & Lifestyle Benefits — Feedback suggests flexible work options and counseling/EAP-style support are part of the broader rewards mix. Additional lifestyle-oriented perks like community events and referral programs are also described as available in some contexts.

Guidehouse Insights

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: McLean, VA
12,000 Employees
Year Founded: 2018

What We Do

Guidehouse is a leading global provider of consulting services to the public sector and commercial markets, with broad capabilities in management, technology, and risk consulting. By combining our public and private sector expertise, we help clients address their most complex challenges and navigate significant regulatory pressures focusing on transformational change, business resiliency, and technology-driven innovation. Across a range of advisory, consulting, outsourcing, and digital services, we create scalable, innovative solutions that help our clients outwit complexity and position them for future growth and success. The company has more than 12,000 professionals in over 50 locations globally. Guidehouse is a Veritas Capital portfolio company, led by seasoned professionals with proven and diverse expertise in traditional and emerging technologies, markets, and agenda-setting issues driving national and global economies.

Similar Jobs

Dropbox Logo Dropbox

Stock Administrator

Artificial Intelligence • Cloud • Consumer Web • Productivity • Software • App development • Data Privacy
Remote
United States
2500 Employees
90K-122K Annually

GitLab Logo GitLab

Recruiter

Cloud • Security • Software • Cybersecurity • Automation
Easy Apply
Remote
2 Locations
2500 Employees
185K-314K Annually

INTOO Logo INTOO

Software Engineer

Other • Professional Services
Remote or Hybrid
14 Locations
70 Employees
100K-125K Annually
Remote
United States
120 Employees

Similar Companies Hiring

Teragonia Thumbnail
Artificial Intelligence • Big Data • Machine Learning • Software • Analytics • Business Intelligence • Consulting
Chicago, IL
50 Employees
Energy CX Thumbnail
Greentech • Professional Services • Business Intelligence • Consulting • Energy • Financial Services • Utilities
Chicago, IL
150 Employees
RapidScale Thumbnail
Cloud • Information Technology • Consulting
Raleigh, NC
600 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account