AI Engineer - Healthcare Domain Must
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.
Required
- 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)
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