Full Stack AI Engineer

Benchmark

. Design, build and support secure, reliable and highly available full stack web applications and internal tools using React, Node.js and serverless APIs .

Posted 10/23/2026full-timeUnited StatesMid-LevelSenior💰 $115,000 - $135,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in full stack web application development using React and Node.js, with a strong focus on AI integration and machine learning model deployment. Proficient in data engineering practices and cloud technologies, particularly within Microsoft Azure environments.

Highest-signal resume keywords

Full Stack Web Application DevelopmentAI Agent DevelopmentMachine Learning Model DeploymentData EngineeringMicrosoft Azure Expertise

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

ReactNode.jsMachine LearningSQLPythonData PipelinesCI/CDAutomated TestingAI Development ToolsData Modeling

Soft Skills

Excellent CommunicationProblem-SolvingCollaborative WorkInterpersonal Skills

Tools & Technologies

Microsoft FoundryAzure OpenAIClaude CodeGitAzure DevOps

Certifications & Qualifications

Bachelor’s Degree in Computer ScienceMaster’s Degree in Artificial Intelligence

Industry Keywords

Predictive AnalyticsData StrategyAuthentication and AuthorizationOAuth 2.0Legacy System Migration

Tech Stack

Tools & technologies

AzureCloudJavaScriptNode.jsPythonReactSQL

About the role

Key responsibilities & impact

Design, build and support secure, reliable and highly available full stack web applications and internal tools using React, Node.js and serverless APIs
Translate business needs into working, user-friendly solutions
Use AI-assisted development tools and AI coding agents daily, and review and correct their output
Design and deliver AI-enabled features and AI agents using LLMs, Agentic AI and RAG on Microsoft Foundry, including tool use, guardrails and evaluation
Develop, deploy and maintain machine learning models for predictive analytics to improve forecasting and budgeting
Build and maintain data pipelines, database schemas and APIs for applications and AI solutions
Write automated unit, integration and browser tests and ship through CI/CD pipelines
Resolve application and data integrity issues and address root causes
Support migration of legacy tools and systems to modern cloud, data and AI technologies
Collaborate with company-wide stakeholders to create and improve technology
Monitor evolving technologies for opportunities to advance practices and solutions
Support the AI and data strategy under the Senior Vice President of Analytics
Perform other responsibilities as assigned

Requirements

What you’ll need

Bachelor’s degree in Computer Science or Information Systems, and/or a Master’s degree in Artificial Intelligence, Data Science, Data Analytics, or a related field
4+ years of experience building production web applications across frontend and backend
Strong modern JavaScript, React and Node.js skills
Hands-on experience building LLM applications and AI agents, including Agentic AI, RAG, prompt design, tool/function calling and evaluating results
Experience with Microsoft Foundry (Azure AI Foundry) and Azure OpenAI or similar LLM platforms
Experience developing and deploying machine learning models for predictive analytics
Data Engineering knowledge, including SQL, data modeling, data pipelines and Python
Experience in Microsoft Azure / Microsoft Fabric environments
Experience with authentication and authorization, including Microsoft Entra ID / OAuth 2.0, and row-level security
Daily use of AI-assisted development tools such as Claude Code
Experience with Git, pull requests, automated testing and CI/CD; Azure DevOps preferred
Excellent communication and interpersonal skills
Strong problem-solving skills
Ability to work collaboratively as well as independently
Passion for latest technologies

Benefits

Comp & perks

Professional growth and career development opportunities
Opportunity to collaborate directly with experienced and senior leaders
Meaningful stretch assignments
Exposure to a diverse portfolio of properties, brands, and markets