[Remote] Full-Stack Engineer – AI-Native Solutions

Note: The job is a remote job and is open to candidates in USA. Guidehouse is hiring a Full-Stack Engineer – AI-Native Solutions to build, deploy, and operate secure, scalable enterprise applications for its Chief Transformation Officer organization. The role delivers full-stack software and integrates AI capabilities where appropriate, while collaborating with product managers and architects on requirements, quality, security, and production readiness.

Responsibilities

• 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

Skills

• 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
• Ability to Obtain Public Trust
• 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

Benefits

• Flexible benefits package
• 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

Company Overview

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