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.

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