Senior Full-Stack AI Engineer - Security Infrastructure

Experis; Charlotte (NC); On-site; USD 120,000 - 170,000; Full time

Benefits offered by this job

Weekly Pay

Job summary

Experis in Charlotte, NC seeks a seasoned Full Stack AI Engineer to drive secure infrastructure and AI capabilities. You will design backend orchestration, build UI for analysts, and integrate with security platforms, while aligning with technical leadership.

The role emphasizes API-centric architectures, scalable cloud services, and experience with LLM-based components, with a focus on production-ready, trustworthy security solutions and continuous learning in AI and security domains.

Qualifications

• 8+ years of professional software engineering experience with frontend and backend development.
• Proficiency in API design, service architecture, data modeling, and async/event-driven systems.
• Experience with LLM-based components, prompt-driven services, and structured output validation.

Responsibilities

• Design and develop the backend systems that orchestrate security agent workflows, ensuring efficiency and reliability.
• Create and maintain tool integration layers connecting to security platforms such as Splunk, DLP, and identity systems.
• Build and enhance the analyst-facing user interface for reviewing agent verdicts, evidence, and case details.
• Implement dashboards to monitor platform performance, operational metrics, and system health.
• Collaborate closely with technical leadership to translate architecture designs into scalable, production-ready solutions.

Skills

Frontend & Backend

API design

Service architecture

Data modeling

Async/event-driven systems

LLM components

Prompt-driven services

Structured output validation

Tools

Splunk

DLP

Identity systems

Job description

Experis in Charlotte, NC seeks a seasoned Full Stack AI Engineer to drive secure infrastructure and AI capabilities. You will design backend orchestration, build UI for analysts, and integrate with security platforms, while aligning with technical leadership.

The role emphasizes API-centric architectures, scalable cloud services, and experience with LLM-based components, with a focus on production-ready, trustworthy security solutions and continuous learning in AI and security domains.