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 Developer with strong expertise acrossbackend, frontend, cloud, and AI-driven application development . This role is ideal for ahands-on technical leader who 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 applications usingPython and Java
- Buildscalable backend services usingFastAPI, 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 solutions acrossAWS, 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
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)