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Artificial Intelligence Engineer

Job in Durham, Durham County, North Carolina, 27703, USA
Listing for: MTSS
Full Time position
Listed on 2026-03-01
Job specializations:
  • Software Development
    AI Engineer
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

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
  • 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 & Dev Ops
    • Expert‑level knowledge of AWS
      , including:
      • DynamoDB
      • Event Bridge
      • 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.

Artificial Intelligence Engineer
• Durham, NC, United States

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