Full Stack AI Engineer

Jobtailor; Plano (TX); On-site; USD 120,000 - 165,000; Full time

Job summary

Jobtailor in Plano, TX is seeking a Full Stack AI Engineer to design, build, and deploy apps that embed generative AI, balancing technical rigor with client impact.

You will work with end users, business pros, and engineers to scope projects, choose architectures, and deliver measurable business outcomes. This hybrid role requires strong React/Node/Python skills and a passion for AI-powered solutions.

Qualifications

• Bachelor's or master's in CS/Engineering/AI/ML or equivalent experience.
• Solid software engineering foundation with exposure to ML
• Interest in integrating generative AI into apps

Responsibilities

• Design, develop, and deploy AI-enabled full-stack applications.
• Deliver AI-powered full-stack software with end users and business pros.
• Serve as technical contact for clients, building stakeholder relationships.
• Identify high-value AI use cases with customers.
• Contribute to discovery, scoping, system design, and rollout.
• Build and deploy apps with generative AI integrated.
• Support adoption and performance in client environments.
• Iterate on deployed AI solutions to improve outcomes.
• Balance speed, scope, and quality for timely delivery.

Skills

client-facing

consulting

relationship building

collaboration

communication

problem-solving

continuous improvement

project management

user adoption

performance optimization

Education

Bachelor's degree in CS/Engineering/AI/ML or related field

Tools

Python

TypeScript

JavaScript

React

Node

FastAPI

HTTP/REST APIs

Data modeling

Version control

Testing

Job description

Responsibilities

• 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

• 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.

Hard Skills

• Python
• TypeScript
• JavaScript
• React
• Node
• FastAPI
• HTTP/REST APIs
• data modeling
• version control
• testing

Soft Skills

• client-facing
• consulting
• relationship building
• collaboration
• communication
• problem-solving
• continuous improvement
• project management
• user adoption
• performance optimization