Job Title: Artificial Intelligence Engineer

Company Name: MTSS

Job Url: https://www.simplyhired.com/job/riDLf0qyk1Y69HIIvlWsBwXZlqEybzM88EpMXRLnnajCgnhdhNbNPQ

Job Description: Artificial Intelligence Engineer
MTSS
Durham, NC

Job Details
10 hours ago
Qualifications
Continuous Delivery (CD) implementation
System design
Scalable systems
Infrastructure architecture
HL7
JavaScript frameworks
Automating deployment processes
Microservices
AWS
Solution architecture design
RabbitMQ
Cloud Native Design
Scalability
Developing and maintaining backend systems
Request for proposal
DynamoDB
Distributed computing
Senior level
AI
Python
Virtual Private Clouds
ChatGPT
Generative AI
Full Job Description
Artificial Intelligence Engineer
Professional Summary
Our direct client is seeking a Senior AI Engineer with deep expertise in infrastructure engineering, full-stack development, and AI-driven workflow automation. Proven experience building complex, enterprise-grade platforms that integrate generative AI, event-driven architecture, and cloud-native services to power intelligent business processes.

Project Experience
AI Platform Development & Architecture

Designed and led development of a new AI-driven product workflow platform to automate complex customer response processes (including RFP automation).

Architected systems that synthesize structured product requirements using large language models, including ChatGPT-based workflows.

Guided AI-assisted coding environments, overseeing complex system orchestration where coding assistants generated significant portions of production code.

Designed and implemented event-driven architecture to support scalable, distributed workflows.

Integrated healthcare interoperability standards including FHIR and HL7 data interchange specifications.

Participated in customer-facing implementations, including potential on-site builds and deployment support.

Technical Expertise
Full-Stack & Infrastructure

Expert-level understanding of infrastructure-as-code principles

Advanced front-end development using React

Strong backend development in Python, focused on AI workflows and AI agents

Deep knowledge of system design for scalable, distributed architectures

AI & Workflow Automation

AI workflow orchestration and agent-based systems

Advanced use of ChatGPT and LLM tooling

Experience leveraging coding assistants (Cursor, Claude modules) across the development lifecycle

Cloud & DevOps

Expert-level knowledge of AWS, including:

DynamoDB

EventBridge

RabbitMQ

Middleware services

VPC architecture and networking

CI/CD pipeline design and implementation

Domain Knowledge

Experience in Life Sciences environments (preferred/ideal exposure)

Understanding of healthcare data standards (FHIR, HL7)

Additional Information
Remote role (United States-based
U.S. Citizen / Green Card Holder
To ensure a fair and secure hiring process, candidates must complete live video interviews with cameras on and present valid government-issued identification during the process. All interviews are conducted directly with our internal team - proxy interviewing is not permitted.
Candidates must represent themselves throughout the entire interview process. Third-party representation, coaching during interviews, or substituted participation will result in immediate disqualification.