Senior Full Stack Developer ( Gen AI /AI Engineer)

XPath Solutions

Charlotte (NC)

Hybrid

USD 120,000 - 150,000

Full time

14 days+

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Job summary

A dynamic technology firm in Charlotte is seeking a Senior Full Stack Developer to design, build, and own AI-enabled applications. This role emphasizes strong backend and frontend skills, with a focus on Python and Java. The ideal candidate has over 8 years of experience and will provide technical leadership without direct management responsibilities. Responsibilities include delivering scalable applications, maintaining CI/CD pipelines, and engaging in AI-driven development. This position supports both onsite and hybrid work options.

Qualifications

  • Minimum 8+ years of experience as a Senior/Lead Developer.
  • Strong expertise across backend, frontend, cloud, and AI-driven application development.

Responsibilities

  • Design, develop, and deliver full-stack applications using Python and Java.
  • Build scalable backend services using FastAPI and microservices architecture.
  • Architect and implement AI-enabled features including Generative AI workflows.
  • Implement and maintain CI/CD pipelines ensuring high code quality.

Skills

Python
Java
FastAPI
REST API design and integration
Machine Learning fundamentals
Natural Language Processing (NLP)
Generative AI concepts
Cloud-based data pipelines

Tools

AWS
Azure
GCP

Job description

Senior Full Stack Developer ( Gen AI /AI Engineer)

Charlotte, United States | Posted on 12/26/2025

Senior Full Stack Developer (GenAI / AI-Driven Systems)

Location:Charlotte, NC (Onsite / Hybrid as required)

Employment Eligibility:Citizens and Green Cards

Experience:Minimum 8+ years (Senior / Lead Individual Contributor)

Role Overview

We are seeking aSenior Full Stack Developerwith strong expertise acrossbackend, frontend, cloud, and AI-driven application development. This role is ideal for ahands-on technical leaderwho can design, build, and own end-to-end systems—especiallyAI-powered, data-intensive, and GenAI-enabled platforms.

This is atechnical leadership role, not a people-management position. You will lead architecture, engineering decisions, and implementation while remaining deeply hands-on.

Key Responsibilities

  • Design, develop, and deliverfull-stack applicationsusingPython and Java
  • Buildscalable backend servicesusingFastAPI, REST APIs, and microservices architecture
  • Develop and integrateUI/UX components, collaborating closely with design teams to deliver intuitive user experiences
  • Architect and implementAI-enabled features, including:
  • Generative AI and prompt-engineering workflows
  • Agentic AI systems and orchestration patterns
  • Leadend-to-end system design, from frontend to backend to cloud deployment
  • Implement and maintainCI/CD pipelines, ensuring high code quality and automated deployments
  • Design and optimizecloud-native solutionsacrossAWS, Azure, or GCP
  • Work withdata engineering and cloud services, including large-scale data processing and analytics platforms
  • Providetechnical leadership, including code reviews, architectural guidance, and best-practice enforcement
  • Partner with cross-functional teams (product, data, AI, platform) to deliver production-grade solutions
Required Technical Skills

Core Engineering

  • Python (advanced)
  • Java
  • FastAPI
  • REST API design and integration
  • Strong full-stack development experience (backend + frontend)
  • UI/UX collaboration and implementation experience

AI / ML / GenAI

  • Machine Learning fundamentals
  • Natural Language Processing (NLP)
  • Generative AI concepts and implementation
  • Prompt Engineering
  • Agentic AI frameworks and workflows
  • Experience withAWS, Azure, or GCP
  • Cloud data services such as:
  • Amazon Redshift
  • Google BigQuery
  • AI platforms and services:
  • AWS Bedrock
  • AWS SageMaker
  • Data engineering and cloud-based data pipelines
  • Cloud functions and serverless architectures

DevOps & Delivery

  • Containerization and deployment best practices

Technical Leadership Expectations

  • Act as atechnical lead and system owner
  • Drive architecture and engineering standards
  • Make design decisions with scalability, security, and performance in mind
  • Mentor engineers technically (no direct people management)
  • Lead by example through hands-on development

Preferred Qualifications

  • Prior work onproduction GenAI or agent-based systems
  • Background in regulated or large-scale environments (financial services, healthcare, enterprise SaaS)
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