Full Stack AI Engineer

Ryan

Full Stack AI Engineer embedding generative AI into applications for clients. Involves design, development, and deployment of software solutions that deliver measurable value.

Posted 6/26/2026full-timePlano • Texas • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformJavaScriptNode.jsPythonReactTypeScript

About the role

Key responsibilities & impact

The Full Stack AI Engineer is a hybrid technical and client-facing role responsible for the design, development, and deployment of applications that embed generative AI
Delivers AI-powered, full-stack software solutions in coordination with end users and business professionals
Serves as a technical point of contact for clients, building strong relationships with both technical and non-technical stakeholders
Collaborates with business professionals and customers to understand their needs and challenges, and to help identify high-value use cases for AI-powered software
Contributes to the end-to-end delivery of AI-powered, full-stack software solutions, including discovery, scoping, system design, development, and rollout to real users
Builds and deploys full-stack applications with generative AI engineered into the software
Works within client and business environments to support successful adoption, performance, and measurable business outcomes
Supports continuous improvement by iterating on deployed solutions and optimizing performance and user adoption
Balances speed, scope, and quality to ensure timely and effective delivery of high-impact projects

Requirements

What you’ll need

A bachelor’s or master’s degree in computer science, Engineering, AI/ML, or a related field (or equivalent relevant work experience)
A foundation in software engineering, with exposure to machine learning or solutions engineering environments
Exposure to, or strong interest in, integrating generative AI including large language models and agent frameworks into applications that serve users
Familiarity with, or demonstrated interest in, building agent-based solutions using frontier language models
Client-facing or consulting-style experience is a plus
Proficiency in at least one general-purpose programming language, such as Python or TypeScript/JavaScript
Demonstrated experience building a full-stack application end to end—for example, a component-based front end (such as React) backed by an API service (such as a Node/TypeScript or Python/FastAPI backend)
A solid grasp of engineering fundamentals: HTTP/REST APIs, data modeling and databases, version control (Git), testing, and debugging
Conceptual familiarity with system architecture and cloud platforms (e.g., AWS, Azure, or GCP)
Experience integrating, or a strong interest in integrating, generative AI into applications, including large language models, agent frameworks (e.g., LangChain, LangGraph, AutoGen, or similar), and vector databases
Familiarity with AI-assisted (“agentic”) coding tools such as Claude Code or Codex
Valid driver’s license required.

Benefits

Comp & perks

Hybrid Work Options
Award-Winning Culture
Generous Personal Time Off (PTO)
14-Weeks of 100% Paid Leave for New Parents (Adoption Included)
Monthly Gym Membership Reimbursement OR Gym Equipment Reimbursement
Benefits Eligibility Effective Day One
401K with Employer Match
Tuition Reimbursement After One Year of Service
Fertility Assistance Program
Four-Week Company-Paid Sabbatical Eligibility After Five Years of Service

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonTypeScriptJavaScriptReactNodeFastAPIHTTP/REST APIsdata modelingversion controltesting

Soft Skills

client-facingconsultingrelationship buildingcollaborationcommunicationproblem-solvingcontinuous improvementproject managementuser adoptionperformance optimization