AI Engineer - Healthcare Domain Must
Project Experience
AI Platform Development & Architecture
ā¢ Designed and led development of a new AI-driven product workflow platform to automate complex customer response processes (including RFP automation).
ā¢ Architected systems that synthesize structured product requirements using large language models, including ChatGPT-based workflows.
ā¢ Guided AI-assisted coding environments, overseeing complex system orchestration where coding assistants generated significant portions of production code.
ā¢ Designed and implemented event-driven architecture to support scalable, distributed workflows.
ā¢ Integrated healthcare interoperability standards including FHIR and HL7 data interchange specifications.
ā¢ Participated in customer-facing implementations, including potential on-site builds and deployment support.
Required
Full-Stack & Infrastructure
ā¢ Expert-level understanding of infrastructure-as-code principles
ā¢ Advanced front-end development using React
ā¢ Strong backend development in Python, focused on AI workflows and AI agents
ā¢ Deep knowledge of system design for scalable, distributed architectures
AI & Workflow Automation
ā¢ AI workflow orchestration and agent-based systems
ā¢ Advanced use of ChatGPT and LLM tooling
ā¢ Experience leveraging coding assistants (Cursor, Claude modules) across the development lifecycle
Cloud & DevOps
ā¢ Expert-level knowledge of AWS, including:
ā¢ DynamoDB
ā¢ EventBridge
ā¢ RabbitMQ
ā¢ Middleware services
ā¢ VPC architecture and networking
ā¢ CI/CD pipeline design and implementation
Domain Knowledge
ā¢ Experience in Life Sciences environments (preferred/ideal exposure)
ā¢ Understanding of healthcare data standards (FHIR, HL7)
Apply Now
Apply Now
AI Platform Development & Architecture
ā¢ Designed and led development of a new AI-driven product workflow platform to automate complex customer response processes (including RFP automation).
ā¢ Architected systems that synthesize structured product requirements using large language models, including ChatGPT-based workflows.
ā¢ Guided AI-assisted coding environments, overseeing complex system orchestration where coding assistants generated significant portions of production code.
ā¢ Designed and implemented event-driven architecture to support scalable, distributed workflows.
ā¢ Integrated healthcare interoperability standards including FHIR and HL7 data interchange specifications.
ā¢ Participated in customer-facing implementations, including potential on-site builds and deployment support.
Required
Full-Stack & Infrastructure
ā¢ Expert-level understanding of infrastructure-as-code principles
ā¢ Advanced front-end development using React
ā¢ Strong backend development in Python, focused on AI workflows and AI agents
ā¢ Deep knowledge of system design for scalable, distributed architectures
AI & Workflow Automation
ā¢ AI workflow orchestration and agent-based systems
ā¢ Advanced use of ChatGPT and LLM tooling
ā¢ Experience leveraging coding assistants (Cursor, Claude modules) across the development lifecycle
Cloud & DevOps
ā¢ Expert-level knowledge of AWS, including:
ā¢ DynamoDB
ā¢ EventBridge
ā¢ RabbitMQ
ā¢ Middleware services
ā¢ VPC architecture and networking
ā¢ CI/CD pipeline design and implementation
Domain Knowledge
ā¢ Experience in Life Sciences environments (preferred/ideal exposure)
ā¢ Understanding of healthcare data standards (FHIR, HL7)
Apply Now
Apply Now